mlsanityData to 7 Oct 2026

SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts

arXiv 2501.07960 ↗First posted 14 Jan 2025cs.CVcited by 1

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Abstract (arXiv)

In this paper, we present a novel architecture for interactive segmentation in winter sports contexts. The field of interactive segmentation deals with the prediction of high-quality segmentation masks by informing the network about the objects position with the help of user guidance. In our case the guidance consists of click prompts. For this task, we first present a baseline architecture which is specifically geared towards quickly responding after each click. Afterwards, we motivate and describe a number of architectural modifications which improve the performance when tasked with segmenting winter sports equipment on the WSESeg dataset. With regards to the average NoC@85 metric on the WSESeg classes, we outperform SAM and HQ-SAM by 2.336 and 7.946 clicks, respectively. When applied to the HQSeg-44k dataset, our system delivers state-of-the-art results with a NoC@90 of 6.00 and NoC@95 of 9.89. In addition to that, we test our model on a novel dataset containing masks for humans during skiing.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 26 of its 53 references that are in the map. First posted on arXiv 14 Jan 2025.

Builds on

26 of 53 references.

References · 26

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  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
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  4. 2023Segment Anythingcited by 8,158
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  11. 2021Reviving Iterative Training with Mask Guidance for Interactive Segmentationcited by 162
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14 more
  1. 2022SimpleClick: Interactive Image Segmentation with Simple Vision Transformerscited by 109
  2. 2022FocalClick: Towards Practical Interactive Image Segmentationcited by 101
  3. 2022PseudoClick: Interactive Image Segmentation with Click Imitationcited by 42
  4. 2024Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Promptscited by 22
  5. 2023InterFormer: Real-time Interactive Image Segmentationcited by 20
  6. 2022DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensingcited by 17
  7. 2021DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenescited by 11
  8. 2024Adapting the Segment Anything Model During Usage in Novel Situationscited by 9
  9. 2023All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletescited by 8
  10. 2022Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Maskscited by 6
  11. 2023Tracking Skiers from the Top to the Bottomcited by 6
  12. 2020Interactive Learning for Semantic Segmentation in Earth Observationcited by 5
  13. 2024MFP: Making Full Use of Probability Maps for Interactive Image Segmentationcited by 5
  14. 2024WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentationcited by 1

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025MMMS: Multi-Modal Multi-Surface Interactive Segmentationcited by 0