Papers with Code 아카이브
Multi-Person Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
<span style="color:grey; opacity: 0.6">( Image credit: Human Pose Estimation with TensorFlow )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2023-MindSpore-1/ms-code-208
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/simple_baselines
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/tinydarknet
https://github.com/2023-MindSpore-1/ms-code-22
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/tinydarknet
https://github.com/2023-MindSpore-4/Code10/tree/main/MaskRCNN
https://github.com/2023-MindSpore-4/Code10/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2023-MindSpore-4/Code11/tree/main/simple_baselines
https://github.com/2023-MindSpore-4/Code11/tree/main/simple_pose
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/2023-MindSpore-4/Code8/tree/main/AlphaPose
https://github.com/2023-MindSpore-4/Code8/tree/main/ArtTrack
https://github.com/2023-MindSpore-4/Code9/tree/main/MaskRCNN
https://github.com/2023-MindSpore-4/Code9/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2024-MindSpore-1/Code4/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2024-MindSpore-1/Code5/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/ArtTrack
https://github.com/2xic/openpose-pigs
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
https://github.com/AKASH2907/bird-species-classification
https://github.com/AKASH2907/bird_species_classification
https://github.com/AkashGanesan/PedestrianAttention
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Alexander-Whelan/Zeus
https://github.com/AlongRide/Py3torch_HigherHRNet
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/Arthur-Shi/py-faster-rcnn
https://github.com/AshishSingh2261/Pedestrian_Instance_Segmentation
https://github.com/Ayaanesmail/Test.-
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/Biantian/MscProject
https://github.com/BingkAI-B21CAP0161/C-Mask-Machine-Learning
https://github.com/BlackAngel1111/Fast-RCNN
https://github.com/BupyeongHealer/Mask_RCNN_tf_2.x
https://github.com/Burf/tfdetection
https://github.com/CASIA-IVA-Lab/ISP-reID
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/CMU-Perceptual-Computing-Lab/openpose_caffe_train
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.