81 citations · 136 across the 9 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 7 cited
On the Robustness of Segment Anything
Yihao Huang, Yue Cao, Tianlin Li +5
Segment anything model (SAM) has presented impressive objectness identification capability with the idea of prompt learning and a new collected large-scale dataset. Given a prompt…
cs.CV2023★ 81 cited
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan Sun, Yuxin Fang, Ledell Wu +2
Contrastive language-image pre-training, CLIP for short, has gained increasing attention for its potential in various scenarios. In this paper, we propose EVA-CLIP, a series of mod…
cs.CV2023★ 24 cited
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang, Yan Jiang, Kangyang Xie +5
Large-scale text-to-image diffusion models achieve unprecedented success in image generation and editing. However, how to extend such success to video editing is unclear. Recent in…