SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop

Friedhelm Hamann, Emil Mededovic, Fabian Gülhan, Yuli Wu, Johannes Stegmaier, Jing He, Yiqing Wang, Kexin Zhang, Lingling Li, Licheng Jiao, Mengru Ma, Honxiang Huang, Yuhao Yan, Hongwei Ren, Xiaopeng Lin, Yulong Huang, Bojun Cheng, Se Hyun Lee, Gyu Sung Ham, Kanghan Oh, Gi Hyun Lim, Boxuan Yang, Bowen Du, Guillermo Gallego; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025, pp. 4734-4742

Abstract

We present an overview of the Spatio-temporal Instance Segmentation (SIS) challenge held in conjunction with the CVPR 2025 Event-based Vision Workshop. The task is to predict accurate pixel-level segmentation masks of defined object classes from spatio-temporally aligned event camera and grayscale camera data. We provide an overview of the task, dataset, challenge details and results. Furthermore, we describe the methods used by the top-5 ranking teams in the challenge. More resources and code of the participants' methods are available here: https://github.com/tub-rip/MouseSIS/blob/main/docs/challenge_results.md

Related Material

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[bibtex]
@InProceedings{Hamann_2025_ICCV, author = {Hamann, Friedhelm and Mededovic, Emil and G\"ulhan, Fabian and Wu, Yuli and Stegmaier, Johannes and He, Jing and Wang, Yiqing and Zhang, Kexin and Li, Lingling and Jiao, Licheng and Ma, Mengru and Huang, Honxiang and Yan, Yuhao and Ren, Hongwei and Lin, Xiaopeng and Huang, Yulong and Cheng, Bojun and Lee, Se Hyun and Ham, Gyu Sung and Oh, Kanghan and Lim, Gi Hyun and Yang, Boxuan and Du, Bowen and Gallego, Guillermo}, title = {SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {4734-4742} }