WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation
Weakly supervised instance segmentation (WSIS) provides a promising way to address instance segmentation in the absence of sufficient labeled data for training. Previous attempts on WSIS usually follow a proposal-based paradigm, critical to which is the proposal scoring strategy. These works mostly...
Main Authors: | Jia-Rong Ou, Shu-Le Deng, Jin-Gang Yu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/10/3475 |
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