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MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
April 30, 2024, 4:47 a.m. | Chaewon Lee, Seon-Ho Lee, Chang-Su Kim
cs.CV updates on arXiv.org arxiv.org
Abstract: In recent interactive segmentation algorithms, previous probability maps are used as network input to help predictions in the current segmentation round. However, despite the utilization of previous masks, useful information contained in the probability maps is not well propagated to the current predictions. In this paper, to overcome this limitation, we propose a novel and effective algorithm for click-based interactive image segmentation, called MFP, which attempts to make full use of probability maps. We first …
arxiv cs.cv image interactive making maps probability segmentation type
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