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/mindspore-ai/models/tree/master/official/cv/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/mindspore-ai/models/tree/master/official/cv/simple_pose
https://github.com/mindspore-ai/models/tree/master/research/cv/AlphaPose
https://github.com/mindspore-ai/models/tree/master/research/cv/ArtTrack
https://github.com/mindspore-ai/models/tree/master/research/cv/fairmot
https://github.com/mindspore-lab/mindone
https://github.com/mirzaevinom/data_science_bowl_2018
https://github.com/mks0601/TF-SimpleHumanPose
https://github.com/mohammadreyaz/openposered
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/mohammadreyaz/pose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/mstfakts/building-detection-maskrcnn
https://github.com/multimodallearning/pytorch-mask-rcnn
https://github.com/murdockhou/Single-Stage-Multi-person-Pose-Machines
https://github.com/murdockhou/lightweight_openpose
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
https://github.com/muyistarsky/MaskRCNN
https://github.com/nikhithakarennagari/1311
https://github.com/nikhithakarennagari/Git
https://github.com/noelcodes/Mask_RCNN
https://github.com/o-evgeny/MRCNN_DeepFashion2
https://github.com/omkarbhope/Pose-Estimation
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
https://github.com/open-edge-platform/geti
https://github.com/open-edge-platform/training_extensions
https://github.com/open-mmlab/mmdetection
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/openpifpaf/openpifpaf
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/openpifpaf/openpifpaf_posetrack
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/openpifpaf/openpifpafwebdemo
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/orkqueen/depplabseongil
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/osmr/imgclsmob
https://github.com/oublalkhalid/AI-OpenPose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/paradisetechsoftsolutions/Deep-learning-model-using-Mask-R-CNN-for-predicting-AC-remote
https://github.com/phtruongan/py-faster-rcnn-docker
https://github.com/phykn/film-defect-detection
https://github.com/pj1920/mask-r-cnn
https://github.com/polospeter/TensorFlow-Advanced-Techniques-Specialization
https://github.com/princeton-vl/pose-ae-train
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.