Papers with Code 아카이브
Car Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/ostadabbas/in-bed-pose-estimation
https://github.com/oublalkhalid/AI-OpenPose
https://github.com/qdhill/openpose
https://github.com/radioactiverockets/OpenPoseBreackoutGame
https://github.com/shihenw/convolutional-pose-machines-release
https://github.com/smellslikeml/YogAI
https://github.com/soulslicer/staf
https://github.com/starman360/openpose_xavier
https://github.com/techforgood-kiran/ai
https://github.com/theyellowdiary/openpose
https://github.com/xaoch/rapJetson2
https://github.com/xar47x/pose
https://github.com/xiaozeguo123/-Quick-Capture-system-HSR
https://github.com/yasutomo57jp/openpifpaf_ros
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/yikegami/openpose
https://github.com/yinzhiyan43/openpose-dev
https://github.com/yongsheng268/OpenPose
https://github.com/zyxcambridge/openpose_all
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.