AISIN-TRC/E2Pose

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E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation Abstract 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-person pose...