BASNet
Boundary-Aware Segmentation Network
**BASNet**, or **Boundary-Aware Segmentation Network**, is an image segmentation architecture that consists of a predict-refine architecture and a hybrid loss. The proposed BASNet comprises a predict-refine architecture and a hybrid loss, for highly accurate image segmentation.  The predict-refine architecture consists of a densely supervised encoder-decoder network and a residual 
 refinement module, which are respectively used to predict and refine a segmentation probability map. The hybrid loss is a combination of the binary cross entropy, structural similarity and intersection-over-union losses, which guide the network to learn three-level (i.e., pixel-, patch- and map- level) hierarchy representations.
Boundary-Aware Segmentation Network for Mobile and Web Applications
https://paperswithcode.com/paper/boundary-aware-segmentation-network-for
Boundary-Aware Segmentation Network for Mobile and Web Applications