Papers › Technical Report: Temporal Aggregate Representations
Technical Report: Temporal Aggregate Representations
Fadime Sener, Dibyadip Chatterjee, Angela Yao
This technical report extends our work presented in [9] with more experiments. In [9], we tackle long-term video understanding, which requires reasoning from current and past or future observations and raises several fundamental questions. How should temporal or sequential relationships be modelled? What temporal extent of information and context needs to be processed? At what temporal scale should they be derived? [9] addresses these questions with a flexible multi-granular temporal aggregation framework. In this report, we conduct further experiments with this framework on different tasks and a new dataset, EPIC-KITCHENS-100.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Action Anticipation | EPIC-KITCHENS-100 | TempAgg | Recall@5 | 14.73 | #8 of 9 | Archive leaderboard | report |
| Action Anticipation | EPIC-KITCHENS-100 (test) | TempAgg | recall@5 | 12.6 | #5 of 8 | Archive leaderboard | report |
| Action Recognition | EPIC-KITCHENS-100 | TempAgg | Action@1 | 45.26 | #17 of 32 | Archive leaderboard | report |
| Action Recognition | EPIC-KITCHENS-100 | TempAgg | Noun@1 | 53.35 | #17 of 32 | Archive leaderboard | report |
| Action Recognition | EPIC-KITCHENS-100 | TempAgg | Verb@1 | 66 | #17 of 32 | Archive leaderboard | report |
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