Search Results for author:
Found 2 papers, 1 papers with code
Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection
A key insight is to incorporate the rich semantic knowledge embedded within large-scale vision foundation models (VFMs) to expand the previous discriminative space (based on forgery patterns only), such that the discrimination is decided by both forgery and semantic cues, thereby reducing the overfitting to specific forgery patterns.
Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification
In the training stage, we utilize this matching information to introduce prototype-based contrastive learning for minimizing the intra- and cross-modality entropy ("Sharpness").
Cannot find the paper you are looking for? You can
Submit a new open access paper.
