3 papers
cs.CV2025
FreeInv: Free Lunch for Improving DDIM Inversion
Yuxiang Bao, Huijie Liu, Xun Gao +2
Naive DDIM inversion process usually suffers from a trajectory deviation issue, i.e., the latent trajectory during reconstruction deviates from the one during inversion. To allevia…
cs.CV2025
Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models
Nanxing Hu, Xiaoyue Duan, Jinchao Zhang +1
Large Vision-Language Models (LVLMs) usually generate texts which satisfy context coherence but don't match the visual input. Such a hallucination issue hinders LVLMs' applicabilit…
cs.CV2025
Normalizing Batch Normalization for Long-Tailed Recognition
Yuxiang Bao, Guoliang Kang, Linlin Yang +3
In real-world scenarios, the number of training samples across classes usually subjects to a long-tailed distribution. The conventionally trained network may achieve unexpected inf…