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Technical Report for SoccerNet Challenge 2022 -- Replay Grounding Task

arXiv 2411.00881 ↗First posted 31 Oct 2024cs.CVcited by 0

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Abstract (arXiv)

In order to make full use of video information, we transform the replay grounding problem into a video action location problem. We apply a unified network Faster-TAD proposed by us for temporal action detection to get the results of replay grounding. Finally, by observing the data distribution of the training data, we refine the output of the model to get the final submission.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 7 references that are in the map. First posted on arXiv 31 Oct 2024.

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7 of 7 references.

References · 7

  1. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  2. 2017Soft-NMS -- Improving Object Detection With One Line of Codecited by 382
  3. 2019G-TAD: Sub-Graph Localization for Temporal Action Detectioncited by 249
  4. 2018SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videoscited by 150
  5. 2021Temporal Context Aggregation Network for Temporal Action Proposal Refinementcited by 112
  6. 2021Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detectioncited by 27
  7. 2022Faster-TAD: Towards Temporal Action Detection with Proposal Generation and Classification in a Unified Networkcited by 10

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