ICCV "segment anything model" Papers
3 papers found
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
Yuheng Shi, Minjing Dong, Chang Xu
ICCV 2025posterarXiv:2411.09219
12
citations
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
Ding Zhong, Xu Zheng, Chenfei Liao et al.
ICCV 2025highlightarXiv:2503.07098
20
citations
ZIM: Zero-Shot Image Matting for Anything
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong et al.
ICCV 2025highlightarXiv:2411.00626
8
citations