Simple: One-sentence method summary: use keypoint detection technic to detect the bounding box center point and regress to all other object properties like bounding box size, 3d information, and pose.
Versatile: The same framework works for object detection, 3d bounding box estimation, and multi-person pose estimation with minor modification.
Fast: The whole process in a single network feedforward. No NMS post processing is needed. Our DLA-34 model runs at 52 FPS with 37.4 COCO AP.
Strong: Our best single model achieves 45.1AP on COCO test-dev.
Easy to use: We provide user friendly testing API and webcam demos.
Simple: One-sentence method summary: use keypoint detection technic to detect the bounding box center point and regress to all other object properties like bounding box size, 3d information, and pose.
Versatile: The same framework works for object detection, 3d bounding box estimation, and multi-person pose estimation with minor modification.
Fast: The whole process in a single network feedforward. No NMS post processing is needed. Our DLA-34 model runs at 52 FPS with 37.4 COCO AP.
Strong: Our best single model achieves 45.1AP on COCO test-dev.
Easy to use: We provide user friendly testing API and webcam demos.