A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation

Image co-segmentation has attracted a lot of attentions in computer vision community. In this paper, we propose a new approach to image co-segmentation through introducing the dense connections into the decoder path of Siamese U-net and presenting a new edge enhanced 3D IOU loss measured over distance maps.

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Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong (2024). Dataset: A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation. https://doi.org/10.57702/1a73g7jv

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Author Xi Liu
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Xiabi Liu
Huiyu Li
Xiaopeng Gong