CVPR 2024 图像处理方向总汇(图像去噪、图像增强、图像分割和图像恢复等)

1、Image Progress(图像处理)    

  • 去鬼影
    • Generating Content for HDR Deghosting from Frequency View
  • 去阴影
    • HomoFormer: Homogenized Transformer for Image Shadow Removal
  • 去模糊
    • Unsupervised Blind Image Deblurring Based on Self-Enhancement
    • Latency Correction for Event-guided Deblurring and Frame Interpolation
    • LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
    • ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
    • Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
      ⭐code
    • AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
      ⭐code
      ⭐code
    • A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
      ⭐code
  • 去雾
    • ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
    • Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
    • A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
      ⭐code
  • 去噪
    • Real-World Mobile Image Denoising Dataset with Efficient Baselines
    • GenesisTex: Adapting Image Denoising Diffusion to Texture Space
    • Robust Image Denoising through Adversarial Frequency Mixup
    • Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
    • Masked and Shuffled Blind Spot Denoising for Real-World Images
    • LAN: Learning to Adapt Noise for Image Denoising
    • Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
    • Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
    • Transfer CLIP for Generalizable Image Denoising
    • Residual Denoising Diffusion Models
      ⭐code
    • Equivariant plug-and-play image reconstruction
      ⭐code
    • Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
    • Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics
    • Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
      👍中文简介
  • 去雨
    • Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
      ⭐code
  • 去反射
    • Revisiting Single Image Reflection Removal In the Wild
    • Language-guided Image Reflection Separation图像反射分离
  • 修图
    • Close Imitation of Expert Retouching for Black-and-White Photography
  • 图像增强
    • Color Shift Estimation-and-Correction for Image Enhancement
    • FlowIE:Efficient Image Enhancement via Rectified Flow
    • Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
    • Specularity Factorization for Low-Light Enhancement
    • Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
      ⭐code
    • Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
      ⭐code
    • Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
    • Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
  • 图像恢复
    • Learning Diffusion Texture Priors for Image Restoration
    • CoDe: An Explicit Content Decoupling Framework for Image Restoration
    • Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
    • Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
    • Look-Up Table Compression for Efficient Image Restoration
    • HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
    • DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
    • Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
      ⭐code
    • Deep Equilibrium Diffusion Restoration with Parallel Sampling
      ⭐code
    • Distilling Semantic Priors from SAM to Efficient Image Restoration Models
    • Boosting Image Restoration via Priors from Pre-trained Models
    • Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
    • Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
      ⭐code
    • Restoration by Generation with Constrained Priors
      🏠project
    • Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
    • Improving Image Restoration through Removing Degradations in Textual Representations
      ⭐code
  • 图像修复
    • Brush2Prompt: Contextual Prompt Generator for Object Inpainting
    • Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
    • NeRFiller: Completing Scenes via Generative 3D Inpainting
    • MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior3D 修复
    • Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
      ⭐code
  • 图像超级补全
    • Shadow-Enlightened Image Outpainting
  • 图像质量
    • Blind Image Quality Assessment Based on Geometric Order Learning
    • Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
    • Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
    • TextCraftor: Your Text Encoder Can be Image Quality Controller
    • Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
  • 恶劣天气消除
    • Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
      ⭐code
    • Language-driven All-in-one Adverse Weather Removal恶劣天气消除
  • 大气湍流去除
    • NB-GTR: Narrow-Band Guided Turbulence Removal
  • Image Portrait Relighting(图像重照光)
    • SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
      🏠project
  • 图片缩小
    • Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
  • 图像校正
    • Rolling Shutter Correction with Intermediate Distortion Flow Estimation
  • 图像着色
    • Learning Inclusion Matching for Animation Paint Bucket Colorization
      ⭐code着色
    • Automatic Controllable Colorization via Imagination
      ⭐code
  • 运动(去)模糊
    • Motion Blur Decomposition with Cross-shutter Guidance
    • Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment
      ⭐code
    • Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
    • Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
    • Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
      ⭐code
  • 视频修复
    • AVID: Any-Length Video Inpainting with Diffusion Model
      ⭐code
      🏠project
    • Towards Language-Driven Video Inpainting via Multimodal Large Language Models
      🏠project
  • 视频去雾
    • Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
  • 视频去渲染
    • Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering
  • 视频去模糊
    • Frequency-aware Event-based Video Deblurring for Real-World Motion Blur
    • Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
      ⭐code
      🏠project
    • FMA-Net: Flow Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
      ⭐code
      🏠project
    • DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
      🏠project
  • 视频增强
    • Binarized Low-light Raw Video Enhancement
  • 视频质量评估
    • PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
    • Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
    • Modular Blind Video Quality Assessment
    • KVQ: Kwai Video Quality Assessment for Short-form Videos
    • CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
      ⭐code
  • 夜间颜色恒定
    • NightCC: Nighttime Color Constancy via Adaptive Channel Masking
  • 照明估计
    • Towards a Perceptual Evaluation Framework for Lighting Estimation

2、Image Segmentation(图像分割)  

  • Matching Anything by Segmenting Anything
    ⭐code
  • Unsupervised Universal Image Segmentation
  • MESA: Matching Everything by Segmenting Anything
  • MRFS: Mutually Reinforcing Image Fusion and Segmentation
  • RobustSAM: Segment Anything Robustly on Degraded Images
  • Hierarchical Histogram Threshold Segmentation - Auto-terminating High-detail Oversegmentation
  • Multi-Space Alignments Towards Universal LiDAR Segmentation
  • CoralSCOP: Segment any COral Image on this Planet分割
  • SANeRF-HQ: Segment Anything for NeRF in High Quality
    🏠project
  • ASAM: Boosting Segment Anything Model with Adversarial Tuning
  • ODIN: A Single Model for 2D and 3D Segmentation
    ⭐code
  • FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
    👍摘要
  • EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
  • Universal Segmentation at Arbitrary Granularity with Language Instruction通用分割
  • Segment and Caption Anything
    🏠project
  • COCONut: Modernizing COCO Segmentation
    ⭐code
  • Multi-view Aggregation Network for Dichotomous Image Segmentation
    ⭐code
  • OMG-Seg: Is One Model Good Enough For All Segmentation?
    🏠project
  • Unsegment Anything by Simulating Deformation
  • BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
    ⭐code
  • VRP-SAM: SAM with Visual Reference Prompt
  • PEM: Prototype-based Efficient MaskFormer for Image Segmentation
  • Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
    ⭐code
  • CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
    🏠project
  • Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
    ⭐code
  • CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
  • Continual Segmentation with Disentangled Objectness Learning and Class Recognition
    ⭐code
  • Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
    ⭐code
  • Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
    ⭐code
    🏠project
  • Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
  • A Simple Recipe for Language-guided Domain Generalized Segmentation
    🏠project
  • Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
    ⭐code
  • Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
    ⭐code
    👍分割一切模型SAM泛化能力差?域适应策略给解决了
  • 开放词汇分割
    • Transferable and Principled Efficiency for Open-Vocabulary Segmentation
    • USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
    • Open-Vocabulary Segmentation with Semantic-Assisted Calibration
      ⭐code
    • OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
  • 视频分割
    • UniVS: Unified and Universal Video Segmentation with Prompts as Queries
      ⭐code
    • Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
      🏠project视频分割
    • Learning to Segment Referred Objects from Narrated Egocentric Videos
    • Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
      ⭐code
  • 语义分割
    • Open Set Domain Adaptation for Semantic Segmentation
    • ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
    • MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
    • TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
    • ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
    • HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
    • Contextrast: Contextual Contrastive Learning for Semantic Segmentation
    • Open-Set Domain Adaptation for Semantic Segmentation
    • SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
      ⭐code
    • Frequency-Adaptive Dilated Convolution for Semantic Segmentation
      ⭐code
    • GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
    • Improving Bird's Eye View Semantic Segmentation by Task Decomposition
      ⭐code
    • UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
    • Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
    • Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
    • 3D 语义分割
      • Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation
      • OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
    • 点云语义分割
      • Rethinking Few-shot 3D Point Cloud Semantic Segmentation
        ⭐code
      • PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation3D 点云语义分割
    • 无监督语义分割
      • Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
      • EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
        ⭐code
        🏠project
    • 小样本语义分割
      • APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
      • Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
    • 零样本语义分割
      • Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
    • 半监督语义分割
      • Training Vision Transformers for Semi-Supervised Semantic Segmentation
      • Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
      • AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
        ⭐code
      • CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
        ⭐code
      • Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
        ⭐code
      • RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
    • 弱监督语义分割
      • Class Tokens Infusion for Weakly Supervised Semantic Segmentation
      • Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
      • DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
        ⭐code
      • Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
        ⭐code
      • Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
        ⭐code
      • PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
      • From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
    • 域泛化语义分割
      • Collaborating Foundation Models for Domain Generalized Semantic Segmentation
        ⭐code
      • Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning
        ⭐code
      • Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
        ⭐code
    • 文本监督语义分割
      • Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
    • 开放世界语义分割
      • Open-World Semantic Segmentation Including Class Similarity
        ⭐code
    • 开放词汇语义分割
      • Open-Vocabulary 3D Semantic Segmentation with Foundation Models
      • Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
      • CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
      • Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
      • SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
        ⭐code
      • Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
        ⭐code
  • 全景分割
    • Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
    • ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
      ⭐code
    • PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
      ⭐code
    • Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
      ⭐code
  • 实例分割
    • Extreme Point Supervised Instance Segmentation
    • Mudslide: A Universal Nuclear Instance Segmentation Method
    • Semantic-aware SAM for Point-Prompted Instance Segmentation
    • SAI3D: Segment Any Instance in 3D Scenes
      🏠project
    • DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
    • FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
      ⭐code
    • Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
    • 开放词汇实例分割
      • MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
        🏠project
    • 3D 实例分割
      • BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
        ⭐code
      • Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
      • Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
      • UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
  • 场景分割
    • No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
      ⭐code
    • MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection
  • 动作分割
    • Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos
    • Coherent Temporal Synthesis for Incremental Action Segmentation
    • Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
    • Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
    • FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation
      ⭐code
  • 参考图像分割
    • LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation
    • Mask Grounding for Referring Image Segmentation
      🏠project
    • Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation
    • Prompt-Driven Referring Image Segmentation with Instance Contrasting
  • 指代表达式分割
    • Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
      ⭐code
  • VOS
    • Point-VOS: Pointing Up Video Object Segmentation
      🏠project
    • Dual Prototype Attention for Unsupervised Video Object Segmentation
      ⭐code
    • Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
      ⭐code
    • Putting the Object Back into Video Object Segmentation
      🏠project
    • Event-assisted Low-Light Video Object Segmentation
    • Guided Slot Attention for Unsupervised Video Object Segmentation
    • LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
      ⭐code
    • RMem: Restricted Memory Banks Improve Video Object Segmentation
  • VSS
    • Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Semantic Segmentation
    • Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
  • VIS
    • VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
  • 抠图
    • In-Context Matting
      ⭐code
    • Unifying Automatic and Interactive Matting with Pretrained ViTs
    • MaGGIe: Masked Guided Gradual Human Instance Matting
    • EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
  • 少样本分割
    • Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
    • Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
      ⭐code
    • Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
    • Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
    • LLaFS: When Large Language Models Meet Few-Shot Segmentation
    • Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
      ⭐code
    • Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
  • 零样本分割
    • Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
      ⭐code
  • 裂纹分割
    • Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
  • 交互式分割
    • GraCo: Granularity-Controllable Interactive Segmentation
      📺video
      👍摘要
    • MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
      ⭐code
  • 无模态分割
    • pix2gestalt: Amodal Segmentation by Synthesizing Wholes
      ⭐code
      🏠project
  • 3D 分割
    • OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
    • PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
    • Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
    • LASO: Language-guided Affordance Segmentation on 3D Object

 

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.mzph.cn/news/892956.shtml

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

python管理工具:conda部署+使用

python管理工具:conda部署使用 一、安装部署 1、 下载 - 官网下载: https://repo.anaconda.com/archive/index.html - wget方式: wget -c https://repo.anaconda.com/archive/Anaconda3-2023.03-1-Linux-x86_64.sh2、 安装 在conda文件的…

python爬虫入门(理论)

python爬虫 学习网站 一、准备 环境搭建 requests beautifulsoup4 selenium 爬虫架构 URL管理器:管理URL,存储已爬取或待爬取的URL 网页下载器:破解网页,进行下载 网页解析器:对网页的HTML样式、连接的URL等进…

windows-本地部署Git仓库-安装Gitea

windows-本地部署Git仓库-安装Gitea 初始化MysQL数据库下载运行后关闭配置服务初始化打开防火墙指定端口入站规则 初始化MysQL数据库 create database gitea character set utf8mb4; 下载 运行后关闭 配置服务 初始化 打开防火墙指定端口入站规则

CV 图像处理基础笔记大全(超全版哦~)!!!

一、图像的数字化表示 像素 数字图像由众多像素组成,是图像的基本构成单位。在灰度图像中,一个像素用一个数值表示其亮度,通常 8 位存储,取值范围 0 - 255,0 为纯黑,255 为纯白。例如,一幅简单的…

Android-目前最稳定和高效的UI适配方案

谈到适配,首先需要介绍几个基本单位: 1、密度无关像素(dp): 含义:density-independent pixel,叫dp或dip,与终端上的实际物理像素点无关 单位:dp,可以保证在…

Leetcode 91. 解码方法 动态规划

原题链接&#xff1a;Leetcode 91. 解码方法 自己写的代码&#xff1a; class Solution { public:int numDecodings(string s) {int ns.size();vector<int> dp(n,1);if(s[n-1]0) dp[n-1]0;for(int in-2;i>0;i--){if(s[i]!0){string ts.substr(i,2);int tmpatoi(t.c…

【算法】枚举

枚举 普通枚举1.铺地毯2.回文日期3.扫雷 二进制枚举1.子集2.费解的开关3.Even Parity 顾名思义&#xff0c;就是把所有情况全都罗列出来&#xff0c;然后找出符合题目要求的那一个。因此&#xff0c;枚举是一种纯暴力的算法。一般情况下&#xff0c;枚举策略都是会超时的。此时…

网络分析仪测试S参数

S参数的测试 一&#xff1a;S参数的定义 S参数&#xff08;Scattering Parameters&#xff0c;散射参数&#xff09;是一个表征器件在射频信号激励下的电气行为的工具&#xff0c;它以输入信号、输出信号为元素的矩阵来表现DUT的“传输”和“散射”效应&#xff0c;输入、输出…

RabbitMQ与Kafka的比较及应用

引言 在构建分布式系统和微服务架构时&#xff0c;数据库与中间件的选择至关重要。它们不仅是数据流转的桥梁&#xff0c;更是确保系统高效、稳定运行的关键组件。本文将深入探讨两种流行的消息中间件——RabbitMQ与Kafka&#xff0c;从架构特点、优势、应用场景到常见问题解决…

Word中如何格式化与网页和 HTML 内容相关的元素

在 Microsoft Word 中&#xff0c;HTML变量、HTML打字机、HTML地址、HTML定义、HTML键盘、HTML缩写、HTML样本、HTML引文 等样式是针对在文档中处理与 HTML 相关内容时&#xff0c;方便格式化特定类型的文本元素。以下是每个样式的详细说明及其使用场景&#xff1a; 1. HTML 变…

联通用户管理系统(一)

#联通用户管理系统&#xff08;一&#xff09; 1.新建项目 如果你是windows的话&#xff0c;界面应该是如下的&#xff1a; 2.创建app python manage.py startapp app01一般情况下&#xff1a;我们是在pycharm的终端中运行上述指令&#xff0c;但是pychrm中为我们提供了工具…

迅为RK3576开发板Android 多屏显示

迅为iTOP-3576开发板采用瑞芯微RK3576高性能、低功耗的应用处理芯片&#xff0c;集成了4个Cortex-A72和4个Cortex-A53核心&#xff0c;以及独立的NEON协处理器。它适用于ARM PC、边缘计算、个人移动互联网设备及其他多媒体产品。 1.1 Android 多屏同显 iTOP-RK3576 开发板支持…

【机器学习:二十三、迁移学习】

1. 迁移学习的定义与背景 定义 迁移学习&#xff08;Transfer Learning&#xff09;是机器学习中的一种方法&#xff0c;它通过将一个领域中学到的知识&#xff08;通常称为源领域&#xff09;应用到另一个相关领域&#xff08;目标领域&#xff09;来完成任务。传统机器学习…

apidoc thinkphp likeadmin 遇到解析报错

报错: [Semantical Error] The annotation "notes" in method app\adminapi\controller\article\ArticleCateController::lists() was never imported. Did you maybe forget to add a "use" statement for this annotation? 解决办法: config/apidoc…

大模型相关资料、基础技术和排行榜

大模型排行榜 测试集CEval中文多个学科测试集排名MMLU大规模多任务语言理解英文排名&#xff0c;介绍斯坦福排行榜Math-VMath-VistaOpen LLMs LeaderboardCMMLU 大模型数据集 标题简介19个大模型常用的评估数据集和训练数据集汇总19个大模型常用的评估数据集和训练数据集汇总最…

【Axure】配色库

配色库是一个专为设计师和创意工作者打造的在线资源平台&#xff0c;旨在提供丰富的色彩解决方案&#xff0c;帮助用户轻松找到或创造美观和谐的色彩搭配。其中&#xff0c;一个典型的配色库包含了以下几个核心元素&#xff1a; 渐变色&#xff1a;提供多样化的渐变色方案&…

设计和优化用于 AR、HUD 和高级显示系统的表面浮雕光栅

表面浮雕光栅是许多光学系统中的关键组件&#xff0c;在控制增强现实 &#xff08;AR&#xff09; 显示器、平视显示器 &#xff08;HUD&#xff09; 和其他先进光子器件中的光传播方面发挥着关键作用。作为在这个领域工作的工程师和设计师&#xff0c;您了解针对特定应用优化这…

港科夜闻 | 香港科大与微软亚洲研究院签署战略合作备忘录,推动医学健康教育及科研协作...

关注并星标 每周阅读港科夜闻 建立新视野 开启新思维 1、香港科大与微软亚洲研究院签署战略合作备忘录&#xff0c;推动医学健康教育及科研协作。根据备忘录&#xff0c;双方将结合各自于科研领域的优势&#xff0c;携手推动医学健康领域的交流与合作。合作方向将涵盖人才培训、…

HAL库 相关单词注解表示(持续更新)

SET/RESET------&#xff08;1/0&#xff09; 通常用于表示将某个位、寄存器或标志设置为特定的值&#xff08;通常 SET 表示设置为 1 &#xff0c;RESET 表示设置为 0 counter------计数器--/ˈkaʊntə(r)/ counting------计数 create------创造 “create” 作动词&…

机器学习第一道菜(一):线性回归的理论模型

机器学习第一道菜&#xff08;一&#xff09;&#xff1a;线性回归的理论模型 一、问题&#xff1a;千金买笑1.1 散点图1.2 机器学习能搞啥 二、模型的建立2.1 线性回归2.2 回归模型 前面讲了机器学习的“四大绝技”&#xff0c;今天&#xff0c;开始研究第一绝技“回归”&…