Causal intervention for weakly-supervised semantic segmentation
We present a causal inference framework to improve Weakly-Supervised Semantic Segmentation (WSSS). Specifically, we aim to generate better pixel-level pseudo-masks by using only image-level labels --- the most crucial step in WSSS. We attribute the cause of the ambiguous boundaries of pseudo-masks t...
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Main Authors: | ZHANG Dong, ZHANG, Hanwang, TANG, Jinhui, HUA, Xian-Sheng, SUN, Qianru |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5597 https://ink.library.smu.edu.sg/context/sis_research/article/6600/viewcontent/NeurIPS_2020_causal_intervention_for_weakly_supervised_semantic_segmentation_Paper.pdf |
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Institution: | Singapore Management University |
Language: | English |
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