metadata
library_name: transformers
pipeline_tag: image-segmentation
UnSAM: Segment Anything without Supervision
Whole image segmentation model for UnSAM (NeurIPS 2024: https://arxiv.org/pdf/2406.20081). The base model is Mask2Former.
Code: https://github.com/frank-xwang/UnSAM
BibTeX:
@article{wang2024segment, title={Segment anything without supervision}, author={Wang, XuDong and Yang, Jingfeng and Darrell, Trevor}, journal={Advances in Neural Information Processing Systems}, volume={37}, pages={138731--138755}, year={2024} }
@article{yu2025unsamv2, title={UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity}, author={Yu, Junwei and Darrell, Trevor and Wang, XuDong}, journal={arXiv preprint arXiv:2511.13714}, year={2025} }