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Implementation for paper "Layered Embeddings for Amodal Instance Segmentation"

Note: the email associated with the paper is no longer valid. Please contact me at yanfengliux@gmail.com

An extension of this work into multi-class multi-object tracking can be found in my thesis

Paper link: Springer, Arxiv

Fig 1. Image and training ground truth: front class mask, occlusion class mask, front instance mask, occlusion instance mask

Fig 2. Network architecture

Fig 3. Failure case where there is a three-stack

Fig 4. Incomplete instance mask for the object at the bottom in the failure case

Fig 5. Mask R-CNN fails when there many objects of the same class and the bounding boxes are too crowded

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Source code for paper "Layered Embeddings for Amodal Instance Segmentation"

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