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2021-CV-Surveys.mdhttps://github.com/Algorithm-learning-community-for-python/CV-Surveys/blob/main/2021-CV-Surveys.md
2021-CV-Surveys.mdhttps://github.com/Algorithm-learning-community-for-python/CV-Surveys/blob/main/2021-CV-Surveys.md
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https://github.com/Algorithm-learning-community-for-python/CV-Surveys#查看2022年综述文献点这里️2022-cv-surveys
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#2023-年论文分类汇总戳这里
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CVPR-2020-Papershttps://github.com/52CV/CVPR-2020-Papers
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https://github.com/Algorithm-learning-community-for-python/CV-Surveys#目录
1.Unkown(未分)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#1
2.Human Pose Estimation(人体姿态估计)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#2
3.Domain Adaptation(域适应)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#3
4.Video(视频相关)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#4
5.Image Processing(图像处理)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#6
6.Image Classification(图像分类)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#6
7.Medical Image Processing(医学影像处理)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#7
8.Face(人脸)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#8
9.GAN(生成对抗网络)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#9
10.HAR(人体动作识别)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#10
11.三维视觉&三维重建https://github.com/Algorithm-learning-community-for-python/CV-Surveys#11
12.Object Detection(目标检测)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#12
13.Image segmentation(图像分割)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#13
14.Image Retrieval(图像检索)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#14
15.Image Captioning(图像字幕)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#15
16.Super-resolution(超分辨率)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#16
17.Remote Sensing(遥感)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#17
18.Object Tracking(目标跟踪)https://github.com/Algorithm-learning-community-for-python/CV-Surveys#18
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniqueshttps://arxiv.org/abs/2304.04819
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkshttps://arxiv.org/abs/2302.08890
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#智能农业
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Reviewhttps://arxiv.org/abs/2304.13880
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#neural-rendering神经渲染
Neural Radiance Fields: Past, Present, and Futurehttps://arxiv.org/pdf/2304.10050.pdf
Neural Radiance Fields (NeRFs): A Review and Some Recent Developmentshttps://arxiv.org/abs/2305.00375
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#计算成像
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Surveyhttps://arxiv.org/abs/2304.08193
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#diffusion-models
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Materialhttps://arxiv.org/abs/2304.01565
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#sign-language-recognition
Image-based Indian Sign Language Recognition: A Practical Review using Deep Neural Networkshttps://arxiv.org/abs/2304.14710
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#object-counting
Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Reviewhttps://arxiv.org/abs/2303.02632
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#data-augmentation数据增强
Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directionshttps://arxiv.org/abs/2301.02830
codehttps://github.com/kmr2017/Advanced-Data-augmentation-codes
Data Distillation: A Surveyhttps://arxiv.org/abs/2301.04272
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#continual-learning持续学习
A Comprehensive Survey of Continual Learning: Theory, Method and Applicationhttps://arxiv.org/abs/2302.00487
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#adversarial-learning对抗学习
Physical Adversarial Attacks for Surveillance: A Surveyhttps://arxiv.org/abs/2305.01074
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#incremental-learning增量学习
Towards Label-Efficient Incremental Learning: A Surveyhttps://arxiv.org/abs/2302.00353
codehttps://github.com/kilickaya/label-efficient-il
Deep Class-Incremental Learning: A Surveyhttps://arxiv.org/abs/2302.03648
codehttps://github.com/zhoudw-zdw/CIL_Survey/
A Survey on Few-Shot Class-Incremental Learninghttps://arxiv.org/abs/2304.08130
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#point-clouds点云
Self-supervised Learning for Pre-Training 3D Point Clouds: A Surveyhttps://arxiv.org/abs/2305.04691
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#image-generation
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?https://arxiv.org/abs/2303.11717
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Erahttps://arxiv.org/abs/2305.06131
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#few-shot-learning
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Surveyhttps://arxiv.org/abs/2303.08557
A Survey of Deep Visual Cross-Domain Few-Shot Learninghttps://arxiv.org/abs/2303.09253
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#trajectory-prediction
Multimodal Trajectory Prediction: A Surveyhttps://arxiv.org/abs/2302.10463
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#biometric-recognition生物特征识别
Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysishttps://arxiv.org/abs/2302.10883
Deep Learning for Iris Recognition: A Reviewhttps://arxiv.org/abs/2303.08514
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#gan生成
Text-to-image Diffusion Model in Generative AI: A Surveyhttps://arxiv.org/abs/2303.07909
3D GANs and Latent Space: A comprehensive surveyhttps://arxiv.org/abs/2304.03932
Text-guided Image-and-Shape Editing and Generation: A Short Surveyhttps://arxiv.org/abs/2304.09244
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#nlp
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Mediahttps://arxiv.org/pdf/2302.08575.pdf
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challengeshttps://arxiv.org/abs/2303.02411
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#slam
Event-based Simultaneous Localization and Mapping: A Comprehensive Surveyhttps://arxiv.org/abs/2304.09793
codehttps://github.com/kun150kun/ESLAM-survey
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#robot
A Review of Scene Representations for Robot Manipulatorshttps://arxiv.org/abs/2301.11275
Visual Place Recognition: A Tutorialhttps://arxiv.org/abs/2303.03281
codehttps://github.com/stschubert/VPR_Tutorial
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directionshttps://arxiv.org/abs/2304.09240
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#anomaly-detection
Deep Industrial Image Anomaly Detection: A Surveyhttps://arxiv.org/abs/2301.11514
codehttps://github.com/M-3LAB/awesome-industrial-anomaly-detection
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#domain-adaptation
A Comprehensive Survey on Source-free Domain Adaptationhttps://arxiv.org/abs/2302.11803
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#kdpruning知识蒸馏
Knowledge Distillation in Vision Transformers: A Critical Reviewhttps://arxiv.org/ftp/arxiv/papers/2302/2302.02108.pdf
Structured Pruning for Deep Convolutional Neural Networks: A surveyhttps://arxiv.org/abs/2303.00566
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#hoi
A Survey on Personalized Affective Computing in Human-Machine Interactionhttps://arxiv.org/abs/2304.00377
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#vision-language
Vision-Language Models for Vision Tasks: A Surveyhttps://arxiv.org/abs/2304.00685
codehttps://github.com/jingyi0000/VLM_survey
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#autonomous-driving自动驾驶
Transformer-Based Sensor Fusion for Autonomous Driving: A Surveyhttps://arxiv.org/abs/2302.11481
codehttps://github.com/ApoorvRoboticist/Transformers-Sensor-Fusion
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Reviewhttps://arxiv.org/abs/2303.01212
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Reviewhttps://arxiv.org/abs/2304.10410
codehttps://xjtlu-vec.github.io/Radar-Camera-Fusion
Synthetic Datasets for Autonomous Driving: A Surveyhttps://arxiv.org/abs/2304.12205
Transformer-based models and hardware acceleration analysis in autonomous driving: A surveyhttps://arxiv.org/abs/2304.10891
Surround-View Vision-based 3D Detection for Autonomous Driving: A Surveyhttps://arxiv.org/abs/2302.06650
codehttps://github.com/ApoorvRoboticist/VisionBEVDetectionSurvey
Vision-RADAR fusion for Robotics BEV Detections: A Surveyhttps://arxiv.org/pdf/2302.06643.pdf
codehttps://github.com/ApoorvRoboticist/Vision-RADAR-Fusion-BEV-Survey
Perception Datasets for Anomaly Detection in Autonomous Driving: A Surveyhttps://arxiv.org/pdf/2302.02790.pdf
Trajectory-Prediction with Vision: A Surveyhttps://arxiv.org/abs/2303.13354
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#neural-architecture-search神经架构搜索
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Searchhttps://arxiv.org/abs/2304.05405
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#transformer
A Survey on Efficient Training of Transformershttps://arxiv.org/abs/2302.01107
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#person-re-identification
Deep Learning for Video-based Person Re-Identification: A Surveyhttps://arxiv.org/abs/2303.11332
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systemshttps://arxiv.org/abs/2302.09119
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#18object-tracking目标跟踪
Transformers in Single Object Tracking: An Experimental Surveyhttps://arxiv.org/abs/2302.11867
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#17remote-sensing遥感
Automatic detection of aerial survey ground control points based on Yolov5-OBBhttps://arxiv.org/abs/2303.03041
Vision-Language Models in Remote Sensing: Current Progress and Future Trendshttps://arxiv.org/abs/2305.05726
Oriented Object Detection in Optical Remote Sensing Images: A Surveyhttps://arxiv.org/abs/2302.10473
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Reviewhttps://arxiv.org/abs/2305.05813
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#16super-resolution超分辨率
Guided Depth Map Super-resolution: A Surveyhttps://arxiv.org/abs/2302.09598
codehttps://github.com/zhwzhong/Guided-Depth-Map-Super-resolution-A-Survey
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#15image-captioning图像字幕
Graph Neural Networks in Vision-Language Image Understanding: A Surveyhttps://arxiv.org/abs/2303.03761
A Review of Deep Learning for Video Captioninghttps://arxiv.org/abs/2304.11431
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#14image-retrieval图像检索
Deep Learning for Video-Text Retrieval: a Reviewhttps://arxiv.org/abs/2302.12552
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#13image-segmentation图像分割
A Comprehensive Review of Modern Object Segmentation Approacheshttps://arxiv.org/abs/2301.07499
Semantic Image Segmentation: Two Decades of Researchhttps://arxiv.org/abs/2302.06378
Transformer-Based Visual Segmentation: A Surveyhttps://arxiv.org/abs/2304.09854
codehttps://github.com/lxtGH/Awesome-Segmenation-With-Transformer
Deep Learning for Human Parsing: A Surveyhttps://arxiv.org/abs/2301.12416
A Survey on Semi-Supervised Semantic Segmentationhttps://arxiv.org/abs/2302.09899
Semantic Segmentation using Vision Transformers: A surveyhttps://arxiv.org/abs/2305.03273
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware designhttps://arxiv.org/abs/2303.04315
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Drivinghttps://arxiv.org/abs/2304.11928
codehttps://uda-survey.github.io/survey/
Deep Image Matting: A Comprehensive Surveyhttps://arxiv.org/abs/2304.04672
codehttps://github.com/JizhiziLi/matting-survey
Few Shot Semantic Segmentation: a review of methodologies and open challengeshttps://arxiv.org/abs/2304.05832
A Review of Panoptic Segmentation for Mobile Mapping Point Cloudshttps://arxiv.org/abs/2304.13980
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#12object-detection目标检测
A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyondhttps://arxiv.org/abs/2304.00501
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directionshttps://arxiv.org/abs/2303.16310
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challengeshttps://arxiv.org/abs/2305.00264
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#11三维视觉三维重建
3D reconstruction of spherical images: A review of techniques, applications, and prospectshttps://arxiv.org/abs/2302.04495
A Review of Deep Learning-Powered Mesh Reconstruction Methodshttps://arxiv.org/abs/2303.02879
3 Dimensional Dense Reconstruction: A Review of Algorithms and Datasethttps://arxiv.org/abs/2304.09371
A Survey and Benchmark of Automatic Surface Reconstruction from Point Cloudshttps://arxiv.org/abs/2301.13656
codehttps://github.com/raphaelsulzer/dsr-benchmark
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#10human-action-recognition人体动作识别
A Survey on Human Action Recognitionhttps://arxiv.org/abs/2301.06082
Transformers in Action Recognition: A Review on Temporal Modelinghttps://export.arxiv.org/abs/2302.01921
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#9generative-adversarial-network生成对抗网络
Comprehensive Literature Survey on Deep Learning used in Image Memorability Prediction and Modificationhttps://arxiv.org/abs/2301.06080
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Surveyhttps://arxiv.org/abs/2302.08641
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#8face人脸
Deepfake Detection using Biological Features: A Surveyhttps://arxiv.org/abs/2301.05819
Racial Bias within Face Recognition: A Surveyhttps://arxiv.org/abs/2305.00817
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#7medical-image-processing医学影像处理
A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaginghttps://arxiv.org/pdf/2302.04173.pdf
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the arthttps://arxiv.org/abs/2304.13014
Computational Pathology: A Survey Review and The Way Forwardhttps://arxiv.org/abs/2304.05482
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Reviewhttps://arxiv.org/abs/2305.03546
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentationhttps://arxiv.org/abs/2303.00232
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Reviewhttps://arxiv.org/abs/2301.03505
codehttps://github.com/mindflow-institue/Awesome-Transformer
A Review of Predictive and Contrastive Self-supervised Learning for Medical Imageshttps://arxiv.org/ftp/arxiv/papers/2302/2302.05043.pdf
Review of methods for automatic cerebral microbleeds detectionhttps://arxiv.org/pdf/2301.13549.pdf
Biomedical Image Reconstruction: A Surveyhttps://arxiv.org/abs/2301.11813
A survey on automated detection and classification of acute leukemia and WBCs in microscopic blood cellshttps://arxiv.org/abs/2303.03916
Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Reviewhttps://arxiv.org/abs/2303.09012
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Reviewhttps://arxiv.org/abs/2305.06739
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#6image-classification图像分类
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metricshttps://export.arxiv.org/abs/2302.01507
Fruit Ripeness Classification: a Surveyhttps://arxiv.org/abs/2212.14441
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#5image-processing图像处理
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper https://arxiv.org/abs/2301.03362
A survey on facial image deblurringhttps://arxiv.org/pdf/2302.05017.pdf
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#4video视频相关
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directionshttps://arxiv.org/abs/2301.00114
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Modelshttps://arxiv.org/pdf/2302.05087.pdf
Online Misinformation Video Detection: A Surveyhttps://arxiv.org/abs/2302.03242
codehttps://github.com/ICTMCG/Awesome-Misinfo-Video-Detection
Edge-Based Video Analytics: A Surveyhttps://arxiv.org/abs/2303.14329
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#3domain-adaptation域适应
Source-Free Unsupervised Domain Adaptation: A Surveyhttps://arxiv.org/abs/2301.00265
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#2human-pose-estimation人体姿态估计
Deep Learning Technique for Human Parsing: A Survey and Outlookhttps://arxiv.org/abs/2301.00394
codehttps://github.com/soeaver/awesome-human-parsing
A Comprehensive Review of Data-Driven Co-Speech Gesture Generationhttps://arxiv.org/abs/2301.05339
CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Surveyhttps://arxiv.org/abs/2301.06187
A Survey of Advanced Computer Vision Techniques for Sportshttps://arxiv.org/abs/2301.07583
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#1unkown未分
A survey on Organoid Image Analysis Platformshttps://arxiv.org/abs/2301.02341
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metricshttps://arxiv.org/abs/2301.13445
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Surveyhttps://arxiv.org/pdf/2302.02515.pdf
Deep Learning for Inertial Positioning: A Surveyhttps://arxiv.org/abs/2303.03757
Towards Computational Architecture of Liberty: A Comprehensive Survey on Deep Learning for Generating Virtual Architecture in the Metaversehttps://arxiv.org/abs/2305.00510
Hyperbolic Deep Learning in Computer Vision: A Surveyhttps://arxiv.org/abs/2305.06611
A Survey of Historical Learning: Learning Models with Learning Historyhttps://arxiv.org/abs/2303.12992
codehttps://github.com/Martinser/Awesome-Historical-Learning
A Comprehensive Survey on Test-Time Adaptation under Distribution Shiftshttps://arxiv.org/abs/2303.15361
codehttps://github.com/tim-learn/awesome-test-time-adaptation
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Erahttps://arxiv.org/abs/2304.06488
Survey on LiDAR Perception in Adverse Weather Conditionshttps://arxiv.org/abs/2304.06312
Hyperbolic Geometry in Computer Vision: A Surveyhttps://arxiv.org/abs/2304.10764
The Robustness of Computer Vision Models against Common Corruptions: a Surveyhttps://arxiv.org/abs/2305.06024
A Survey of Methods for Converting Unstructured Data to CSG Modelshttps://arxiv.org/abs/2305.01220
Latest Trends in Artificial Intelligence Technology: A Scoping Reviewhttps://arxiv.org/abs/2305.04532
Visual Tuninghttps://arxiv.org/abs/2305.06061
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processinghttps://arxiv.org/abs/2304.04906
codehttps://github.com/MehediHasanTutul/Reject_option
Context Understanding in Computer Vision: A Surveyhttps://arxiv.org/pdf/2302.05011.pdf
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveyhttps://arxiv.org/abs/2302.10035
codehttps://github.com/wangxiao5791509/MultiModal_BigModels_Survey
Literature Review: Computer Vision Applications in Transportation Logistics and Warehousinghttps://arxiv.org/abs/2304.06009
codehttps://a-nau.github.io/cv-in-logistics
https://github.com/Algorithm-learning-community-for-python/CV-Surveys#扫码cv君微信注明cv入微信交流群
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