ICCV Poster "segment anything model" Papers
4 papers found
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
Jihun Kim, Hoyong Kwon, Hyeokjun Kweon et al.
ICCV 2025posterarXiv:2506.23104
E-SAM: Training-Free Segment Every Entity Model
WEIMING ZHANG, Dingwen Xiao, Lei Chen et al.
ICCV 2025posterarXiv:2503.12094
1
citations
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
Yuheng Shi, Minjing Dong, Chang Xu
ICCV 2025posterarXiv:2411.09219
12
citations
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
Minchao Jiang, Shunyu Jia, Jiaming Gu et al.
ICCV 2025posterarXiv:2506.22799
3
citations