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

@misc{lee2026segmenteventslanguage,
      title={Segment Any Events with Language}, 
      author={Seungjun Lee and Gim Hee Lee},
      year={2026},
      eprint={2601.23159},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2601.23159}, 
}