Shypd.aiThe largest open index of AI toolsRealtime_Multi-Person_Pose_Estimation is an open-source code repository for real-time multi-person pose estimation. It provides a bottom-up approach without using a person detector, and won the 2016 MSCOCO Keypoints Challenge.
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Realtime_Multi-Person_Pose_Estimation is an open-source code repository designed for real-time multi-person pose estimation. This tool utilizes a bottom-up approach, which means it does not require a person detector, simplifying the process and improving efficiency. It gained significant recognition by winning the 2016 MSCOCO Keypoints Challenge and the 2016 ECCV Best Demo Award. Further solidifying its academic standing, the project was featured in a 2017 CVPR Oral paper. This makes it a valuable resource for researchers and developers working on computer vision tasks involving human pose analysis.
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