5 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning Attribute-aware Representations for Few-shot Scene Text Segmentation
Yifan Tang, Chenming Li, Chengxu Liu +7
Supervised scene text segmentation has achieved notable progress in recent years. However, its development is largely constrained by the scarcity of high-quality datasets and the h…
Cross Contrasting Feature Perturbation for Domain Generalization
Chenming Li, Daoan Zhang, Wenjian Huang +1
Domain generalization (DG) aims to learn a robust model from source domains that generalize well on unseen target domains. Recent studies focus on generating novel domain samples o…
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang, Mingkai Chen, Chenming Li +2
Domain Generalization (DG) is a fundamental challenge for machine learning models, which aims to improve model generalization on various domains. Previous methods focus on generati…
Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation
Daoan Zhang, Chenming Li, Haoquan Li +3
Unsupervised image semantic segmentation(UISS) aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the…