Abstract
Many real-world applications, from sport analysis to surveillance, benefit from automatic long-term action recognition. In the current deep learning paradigm for automatic action recognition, it is imperative that models are trained and tested on datasets and tasks that evaluate if such models actually learn and reason over long-term information. In this work, we propose a method to evaluate how suitable a video dataset is to evaluate models for long-term action recognition. To this end, we define a long-term action as excluding all the videos that can be correctly recognized using solely short-term information. We test this definition on existing long-term classification tasks on three popular real-world datasets, namely Breakfast, CrossTask and LVU, to determine if these datasets are truly evaluating long-term recognition. Our study reveals that these datasets can be effectively solved using shortcuts based on short-term information. Following this finding, we encourage long-term action recognition researchers to make use of datasets that need long-term information to be solved.
Original language | English |
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Title of host publication | Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
Editors | Cristina Ceballos |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 2959-2968 |
Number of pages | 10 |
ISBN (Electronic) | 979-8-3503-0744-3 |
ISBN (Print) | 979-8-3503-0745-0 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) - Paris, France Duration: 2 Oct 2023 → 6 Oct 2023 |
Conference
Conference | 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
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Country/Territory | France |
City | Paris |
Period | 2/10/23 → 6/10/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.