Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation
Yukun Zhao, Zichen Zhong, Yongshun Gong +2
Denoising generative models have recently become the dominant paradigm for dexterous grasp generation, owing to their ability to model complex grasp distributions from large-scale…
cs.CV2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun, Rundong He, Zhongyi Han +3
Few-shot OOD detection focuses on recognizing out-of-distribution (OOD) images that belong to classes unseen during training, with the use of only a small number of labeled in-dist…