Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark

Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Pătrăucean
11/29/2024
cs.CVcs.CLcs.LG

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Abstract

Following the successful 2023 edition, we organised the Second Perception Test challenge as a half-day workshop alongside the IEEE/CVF European Conference on Computer Vision (ECCV) 2024, with the goal of benchmarking state-of-the-art video models and measuring the progress since last year using the Perception Test benchmark. This year, the challenge had seven tracks (up from six last year) and covered low-level and high-level tasks, with language and non-language interfaces, across video, audio, and text modalities; the additional track covered hour-long video understanding and introduced a novel video QA benchmark 1h-walk VQA. Overall, the tasks in the different tracks were: object tracking, point tracking, temporal action localisation, temporal sound localisation, multiple-choice video question-answering, grounded video question-answering, and hour-long video question-answering. We summarise in this report the challenge tasks and results, and introduce in detail the novel hour-long video QA benchmark 1h-walk VQA.

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@article{heyward2024perception,
  title  = {Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark},
  author = {Joseph Heyward and João Carreira and Dima Damen and Andrew Zisserman and Viorica Pătrăucean},
  year   = {2024},
  eprint = {2411.19941},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.19941v1}
}

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