Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

CVPR 2019 N. Dinesh Reddy Minh Vo Srinivasa G. Narasimhan

We present Occlusion-Net, a framework to predict 2D and 3D locations of occluded keypoints for objects, in a largely self-supervised manner. We use an off-the-shelf detector as input (like MaskRCNN) that is trained only on visible key point annotations... (read more)

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