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.

Table of Contents

1. TODO
2. Citation

News:

• [2026/01/26] SEAL is accepted to ICLR 2026 🔥. The code will be released before April.

TODO

• Release the code of SEAL
• Release the benchmarks

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 preprint arXiv:2601.23159},
  year={2026}
}