E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation
Masakazu Tobeta,Yoshihide Sawada,Ze Zheng,Sawa Takamuku,Naotake Natori,Masakazu Tobeta,Yoshihide Sawada,Ze Zheng,Sawa Takamuku,Naotake Natori
Highly accurate multi-person pose estimation at a high framerate is a fundamental problem in autonomous driving. Solving the problem could aid in preventing pedestrian-car accidents. The present study tackles this problem by proposing a new model composed of a feature pyramid and an original head to a general backbone. The original head is built using lightweight CNNs and directly estimates multi-...
