Home /Research /TransCNNLoc: End-to-end pixel-level learning for 2D-to-3D pose estimation in dynamic indoor scenes
OTHER

TransCNNLoc: End-to-end pixel-level learning for 2D-to-3D pose estimation in dynamic indoor scenes

Shengjun Tang, Yusong Li, Jiawei Wan, You Li, Baoding Zhou, Renzhong Guo, Weixi Wang, Yuhong Feng

Year
2023
Citations
9

Keywords

Computer scienceArtificial intelligenceComputer visionRobustness (evolution)PosePixelDecoding methodsFeature (linguistics)Encoding (memory)Pattern recognition (psychology)

Related papers

Browse all OTHER papers