https://github.com/sithu31296/pose-estimation
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
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/sithu31296/semantic-segmentation
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/soulguy/Faster-rcnn
https://github.com/soulslicer/staf
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/srini2dl/DogPoseEstimation
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/ssanyachetwani/Fashion-Trend-Detection-and-Recommendation-Model
https://github.com/stanleycelestin1/AirsimDetectron
https://github.com/starman360/openpose_xavier
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/stdbreaks/centernet
https://github.com/stevehjc/pose-ae-demo-tf
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
https://github.com/strivebo/image_segmentation_dl
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/sunhui1234/haha
https://github.com/sunqiangxtcsun/faster-rcnn
https://github.com/sunutf/TSM
https://github.com/t-hanya/kuzushiji-recognition
https://github.com/tea1528/Non-Local-NN-Pytorch
https://github.com/techforgood-kiran/ai
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/tensorboy/centerpose
https://github.com/tensorflow/models/tree/master/official/vision
https://github.com/tensorflow/models/tree/master/research/object_detection
https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN
https://github.com/thanhtrung98/Pose_estimation
https://github.com/thanhtrung98/human_pose_estimation
https://github.com/theyellowdiary/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/thomasslloyd/FitSpatial
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/thoughtmachines/Human-Pose-Estimation-using-HRNets
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/thuml/Transfer-Learning-Library/tree/dev-tllib/examples/domain_adaptation/keypoint_detection
Regressive Domain Adaptation for Unsupervised Keypoint Detection
https://github.com/tiagoCuervo/JapaNet
https://github.com/tinymilky/RSANet
https://github.com/tlpss/keypoint-detection
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
https://github.com/tonysy/PyAction
https://github.com/tryolabs/luminoth
https://github.com/tteepe/CenterNet-pytorch-lightning
https://github.com/tuvovan/CPN_KR
https://github.com/ucsd-ml-arts/ml-art-final2-phases
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/v1viswan/Domain_adaptation_in_HRNet
Deep High-Resolution Representation Learning for Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.