most citedModeling the Label Distributions for Weakly-Supervised Semantic Segmentation

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eess.IV2024★ 1 cited

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

Linshan Wu, Zhun Zhong, Jiayi Ma +4

Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing a…

eess.IV2024

Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation

Linshan Wu, Ming Lu, Leyuan Fang

Unsupervised domain adaptive (UDA) image segmentation has recently gained increasing attention, aiming to improve the generalization capability for transferring knowledge from the…