3 citations · 5 across the 4 of their papers we have counts for
4 papers
ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration
Yuchen Bao, Chao Wen, Haowei Wang +10
Reward post-training of diffusion generators inevitably concentrates probability mass on a few reward-favored modes, a mode collapse that erases within-prompt diversity. Existing m…
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…
Strip-MLP: Efficient Token Interaction for Vision MLP
Guiping Cao, Shengda Luo, Wenjian Huang +4
Token interaction operation is one of the core modules in MLP-based models to exchange and aggregate information between different spatial locations. However, the power of token in…
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…