Multi-scale feature correspondence and pseudo label retraining strategy for weakly supervised semantic segmentation-Reference-Cited by-同舟云学术

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Multi-scale feature correspondence and pseudo label retraining strategy for weakly supervised semantic segmentation

Published:2024-10 Issue: Volume:150 Page:105215
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Wang Weizheng,Zhou Lei,Wang Haonan

Funder

Scientific Research Foundation of Hunan Provincial Education Department

National Natural Science Foundation of China

Hunan Provincial Science and Technology Department

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Reference53 articles.

1. What’s the point: semantic segmentation with point supervision;Bearman;Eur. Conf. Comp. Vision,2016

2. Bbam: bounding box attribution map for weakly supervised semantic and instance segmentation;Lee,2021

3. Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation;Ahn,2018

4. Learning deep features for discriminative localization;Zhou,2016

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