mlsanityData to 7 Oct 2026

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

arXiv 2508.12813 ↗First posted 18 Aug 2025cs.CV cs.LGcited by 2

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Abstract (arXiv)

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

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 20 of its 34 references that are in the map. First posted on arXiv 18 Aug 2025.

Builds on

20 of 34 references.

References · 20

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  2. 2023Segment Anythingcited by 8,158
  3. 2015Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classificationcited by 3,590
  4. 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
  5. 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,338
  6. 2019Event-based Vision: A Surveycited by 1,010
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  8. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 812
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  11. 2015An Introduction to Convolutional Neural Networkscited by 510
  12. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 436
8 more
  1. 2019Video Instance Segmentationcited by 391
  2. 2019High Speed and High Dynamic Range Video with an Event Cameracited by 344
  3. 2022ActionFormer: Localizing Moments of Actions with Transformerscited by 308
  4. 2025YOLOv12: Attention-Centric Real-Time Object Detectorscited by 300
  5. 2019MOTS: Multi-Object Tracking and Segmentationcited by 222
  6. 2022Simple Cues Lead to a Strong Multi-Object Trackercited by 44
  7. 2025Instance-Level Moving Object Segmentation from a Single Image with Eventscited by 6
  8. 2024MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Micecited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Segment Any Events with Languagecited by 3
  2. 2026DIMOS: Disentangling Instance-level Moving Object Segmentationcited by 0