onandon/SEAL

SEAL 🦭 Segment Any Events with Language Seungjun Lee · Gim Hee Lee Department of Computer Science, National University of Singapore ICLR 2026 Code | Paper | Project Page Our SEAL is the first Semantic-aware Segment Any Events model. Citation If you find our code or paper useful, please cite @article{lee2026segment, title={Segment Any Events with Language}, author={Lee, Seungjun and Lee, Gim Hee}, journal={arXiv… See the full description on the dataset page: https://huggingface.co/datasets/onandon/SEAL.

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