https://github.com/AIChallenger/AI_Challenger
공식 코드AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
Papers with Code 아카이브
Keypoint Detection
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Keypoint Detection is essential for analyzing and interpreting images in computer vision. It involves simultaneously detecting and localizing interesting points in an image. Keypoints, also known as interest points, are spatial locations or points in the image that define what is interesting or what stands out. They are invariant to image rotation, shrinkage, translation, distortion, etc. Keypoints examples are body joints, facial landmarks, or any other salient points in objects. Keypoints have uses in problems such as pose estimation, object detection and tracking, facial analysis, and augmented reality.
<span style="color:grey; opacity: 0.6">( Image credit: PifPaf: Composite Fields for Human Pose Estimation; "Learning to surf" by fotologic, license: CC-BY-2.0 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CMU-Perceptual-Computing-Lab/openpose
공식 코드OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/DeLightCMU/PSA
공식 코드Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/EMI-Group/RelativeNAS
공식 코드RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
https://github.com/HRNet/DEKR
공식 코드Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression
https://github.com/HRNet/HRNet-Bottom-Up-Pose-Estimation
공식 코드Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
https://github.com/IBM/RegionViT
공식 코드RegionViT: Regional-to-Local Attention for Vision Transformers
https://github.com/IDEA-Research/UniPose
공식 코드https://github.com/JiahuiYu/slimmable_networks
공식 코드https://github.com/LUZW1998/CMFDUEI
공식 코드An Effective Image Copy-Move Forgery Detection Using Entropy Information
https://github.com/LandskapeAI/triplet-attention
공식 코드https://github.com/MONET2018/MONET
공식 코드MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence
https://github.com/MacavityT/REF-VLM
공식 코드REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding
https://github.com/MarekKowalski/DeepAlignmentNetwork
공식 코드Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/Microsoft/human-pose-estimation.pytorch
공식 코드Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/MiraPurkrabek/BBoxMaskPose
공식 코드Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
https://github.com/NVlabs/dex-ycb-toolkit
공식 코드https://github.com/Pose-Group/DCPose
공식 코드https://github.com/PruneTruong/DenseMatching
공식 코드PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
https://github.com/PruneTruong/GLAMpoints_pytorch
공식 코드https://github.com/SaharAlmahfouzNasser/MeDAL-Retina
공식 코드https://github.com/Shiaoming/ALIKE
공식 코드ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
https://github.com/StructuresComp/measure-anything
공식 코드Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything
https://github.com/TRI-ML/KP2D
공식 코드Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/TRI-ML/KP3D
공식 코드Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
https://github.com/ToyotaResearchInstitute/simnet
공식 코드SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
https://github.com/YuliangXiu/PoseFlow
공식 코드https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
공식 코드Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/a-nau/tampar
공식 코드TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains
https://github.com/ahmedheakl/fish-counting
공식 코드Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
https://github.com/aim-uofa/poseur
공식 코드https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose
공식 코드Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
https://github.com/alanlusun/few-shot-keypoint-detection
공식 코드Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
https://github.com/alanlusun/openkd
공식 코드OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
https://github.com/allenai/grit_official
공식 코드https://github.com/amathislab/poet
공식 코드End-to-End Trainable Multi-Instance Pose Estimation with Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.