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2023 年论文分类汇总戳这里

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2022 年论文分类汇总戳这里

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2021 年论文分类汇总戳这里

↘️ICCV-2021-Papers ↘️CVPR-2021-Papers

2020 年论文分类汇总戳这里

↘️CVPR-2020-Papers ↘️ECCV-2020-Papers

2023-CV-Surveys

2023 年，计算机视觉相关综述。包括目标检测、跟踪........

📗📗📗在【我爱计算机视觉】微信公众号后台回复“CV综述”，即可收到本文列出的全部论文的打包下载。至2月15日已公开 42 篇。

1月份20篇。

目录

🐱	🐶	🐯	🐺
1.Unkown(未分)	2.Human Pose Estimation(人体姿态估计)	3.Domain Adaptation(域适应)	4.Video(视频相关)
5.Image Processing(图像处理)	6.Image Classification(图像分类)	7.Medical Image Processing(医学影像处理)
8.Face(人脸)	9.GAN(生成对抗网络)	10.HAR(人体动作识别)

Data Augmentation(数据增强)

• Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions
  [2023-01-10]
  ⭐code
• Data Distillation: A Survey

Continual Learning(持续学习)

• A Comprehensive Survey of Continual Learning: Theory, Method and Application
  [2023-02-02]
  

Incremental Learning(增量学习)

• Towards Label-Efficient Incremental Learning: A Survey
  [2023-02-02]
  ⭐code
• 类增量学习
  • Deep Class-Incremental Learning: A Survey
    [2023-02-08]
    ⭐code

Robot

• 机器人
  • A Review of Scene Representations for Robot Manipulators
    [2023-01-27]

Anomaly Detection

• Deep Industrial Image Anomaly Detection: A Survey
  [2023-01-30]
  ⭐code

KD(知识蒸馏)

• 知识蒸馏
  • Knowledge Distillation in Vision Transformers: A Critical Review
    [2023-02-07]
    

Autonomous Driving(自动驾驶)

• 目标检测
  • Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey
    [2023-02-15]
    ⭐code
  • Vision-RADAR fusion for Robotics BEV Detections: A Survey
    [2023-02-15]
    ⭐code
• 异常检测
  • Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
    [2023-02-07]
    

Transformer

• A Survey on Efficient Training of Transformers
  [2023-02-03]
  

Image segmentation(图像分割)

• A Comprehensive Review of Modern Object Segmentation Approaches
  [2023-01-19]
• Semantic Image Segmentation: Two Decades of Research
  [2023-02-15]
  
• 人体解析
  • Deep Learning for Human Parsing: A Survey
    [2023-01-31]

11.三维视觉&三维重建

• 三维重建
  • 3D reconstruction of spherical images: A review of techniques, applications, and prospects
    [2023-02-10]
    
• 表面重建
  • A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds
    [2023-02-01]
    ⭐code

10.Human Action Recognition(人体动作识别)

• A Survey on Human Action Recognition
  [2023-01-18]
• Transformers in Action Recognition: A Review on Temporal Modeling
  [2023-02-06]
  

9.Generative Adversarial Network(生成对抗网络)

• Comprehensive Literature Survey on Deep Learning used in Image Memorability Prediction and Modification
  [2023-01-18]

8.Face(人脸)

• Deepfake检测
  • Deepfake Detection using Biological Features: A Survey
    [2023-01-18]

7.Medical Image Processing(医学影像处理)

• A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging
  [2023-02-09]
  
• 医学影像分析
  • Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
    [2023-01-10]
    ⭐code
  • A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
    [2023-02-13]
    
• 脑微出血检测
  • Review of methods for automatic cerebral microbleeds detection
    [2023-02-01]
    
• 生物医学重建
  • Biomedical Image Reconstruction: A Survey
    [2023-01-30]
    

6.Image Classification(图像分类)

• • Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
    [2023-02-06]
    
• 果实成熟度分类
  • Fruit Ripeness Classification: a Survey
    [2023-01-02]
    

5.Image Processing(图像处理)

• 去噪
  • Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper 
    [2023-01-10]
    
• 去模糊
  • A survey on facial image deblurring
    [2023-02-13]
    

4.Video(视频相关)

• VAD
  • Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
    [2023-01-03]
    对使用从视频中提取的骨架的隐私保护型深度学习异常检测方法进行了调查
  • Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
    [2023-02-13]
    
• 视频错误信息检测
  • Online Misinformation Video Detection: A Survey
    [2023-02-08]
    ⭐code

3.Domain Adaptation(域适应)

• 域适应
  • Source-Free Unsupervised Domain Adaptation: A Survey
    [2023-01-03]
    从技术角度对现有的SFUDA方法进行了系统的文献回顾。具体来说，将目前的SFUDA研究分为两类，即白盒SFUDA和黑盒SFUDA，并根据它们使用的不同学习策略进一步划分为更细的子类别。以及研究了每个子类别中方法的挑战，讨论了白盒和黑盒SFUDA方法的优势/劣势，总结了常用的基准数据集，另外还总结了在不使用源数据的情况下提高模型通用性的流行技术。

2.Human Pose Estimation(人体姿态估计)

• 人体解析
  • Deep Learning Technique for Human Parsing: A Survey and Outlook
    [2023-01-03]
    ⭐code
• 手势合成
  • A Comprehensive Review of Data-Driven Co-Speech Gesture Generation
    [2023-01-16]
• 动作识别与姿势估计
  • CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey
    [2023-01-18]
• 体育
  • A Survey of Advanced Computer Vision Techniques for Sports
    [2023-01-19]
    

1.Unkown(未分)

• A survey on Organoid Image Analysis Platforms
  [2023-01-09]
  
• A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
  [2023-02-01]
  
• Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
  [2023-02-07]
  
• 上下文理解
  • Context Understanding in Computer Vision: A Survey
    [2023-02-13]
    ⭐[code]

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