22 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CV2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li, Haoke Xiao, Lv Tang
In the evolving landscape of computer vision, foundation models have emerged as pivotal tools, exhibiting exceptional adaptability to a myriad of tasks. Among these, the Segment An…
cs.CV2022★ 22 cited
Towards Stable Co-saliency Detection and Object Co-segmentation
Bo Li, Lv Tang, Senyun Kuang +2
In this paper, we present a novel model for simultaneous stable co-saliency detection (CoSOD) and object co-segmentation (CoSEG). To detect co-saliency (segmentation) accurately, t…
cs.CV2021★ 10 cited
Highly Efficient Natural Image Matting
Yijie Zhong, Bo Li, Lv Tang +2
Over the last few years, deep learning based approaches have achieved outstanding improvements in natural image matting. However, there are still two drawbacks that impede the wide…