Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 31
- 보존된 평가 기록
- 235
Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindSpore-paper-code-2/code2/tree/main/Non_local
https://github.com/MindSpore-paper-code-2/code2/tree/main/PAMTRI
https://github.com/MindSpore-paper-code-2/code2/tree/main/PoseNet
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
https://github.com/MindSpore-paper-code-2/code2/tree/main/rbpn
Recurrent Back-Projection Network for Video Super-Resolution
https://github.com/MindSpore-paper-code-2/code3/tree/main/StackedHourglass
https://github.com/MindSpore-paper-code-2/code3/tree/main/tinydarknet
https://github.com/MindSpore-paper-code-3/code1/tree/main/AlphaPose
https://github.com/MindSpore-paper-code-3/code1/tree/main/ArtTrack
https://github.com/MindSpore-paper-code-3/code1/tree/main/Auto-DeepLab
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
https://github.com/MindSpore-paper-code-3/code10/tree/main/fishnet99
https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceRecognitionForTracking
https://github.com/MindSpore-paper-code-3/code3/tree/main/faster_rcnn_dcn
https://github.com/MindSpore-paper-code-3/code4/tree/main/HMR
https://github.com/MindSpore-paper-code-3/code5/tree/main/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/MindSpore-paper-code-3/code6/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/MindSpore-paper-code-3/code6/tree/main/ArtTrack
https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceRecognitionForTracking
https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceRecognitionForTracking
https://github.com/MindSpore-paper-code-3/code9/tree/main/MaskRCNN
https://github.com/MindSpore-paper-code-3/code9/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MindSpore-paper-code-3/code9/tree/main/PVNet
https://github.com/MindSpore-scientific-2/code-10/tree/main/pixelshuffle1d
https://github.com/MindSpore-scientific-2/code-8/tree/main/pixelshuffle1d
https://github.com/MindSpore-scientific/code-1/tree/main/pixelshuffle1d
https://github.com/MindSpore-scientific/code-10/tree/main/pixelshuffle1d
https://github.com/MindSpore-scientific/code-11/tree/main/Simba
https://github.com/MindSpore-scientific/code-13/tree/main/Simba
https://github.com/MindSpore-scientific/code-4/tree/main/pixelshuffle1d
https://github.com/ModelBunker/Lightweight-OpenPose-PyTorch
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/MohamedAliRashad/Crystal
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/Mohammad-Asad-110/Fashion-Recommendation
Buy Me That Look: An Approach for Recommending Similar Fashion Products
https://github.com/Mohitkr95/Image-Super-Resolution
https://github.com/Mr-TalhaIlyas/Openpose-docker
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MrCat9/Sklearn_Note
https://github.com/Mrnoorsingh/car-parking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.