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What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention

22 May 2019ICCV 2019 10arXiv:1905.09035archive 2025-07-28

Antonino Furnari, Giovanni Maria Farinella

Egocentric action anticipation consists in understanding which objects the camera wearer will interact with in the near future and which actions they will perform. We tackle the problem proposing an architecture able to anticipate actions at multiple temporal scales using two LSTMs to 1) summarize the past, and 2) formulate predictions about the future. The input video is processed considering three complimentary modalities: appearance (RGB), motion (optical flow) and objects (object-based features). Modality-specific predictions are fused using a novel Modality ATTention (MATT) mechanism which learns to weigh modalities in an adaptive fashion. Extensive evaluations on two large-scale benchmark datasets show that our method outperforms prior art by up to +7% on the challenging EPIC-Kitchens dataset including more than 2500 actions, and generalizes to EGTEA Gaze+. Our approach is also shown to generalize to the tasks of early action recognition and action recognition. Our method is ranked first in the public leaderboard of the EPIC-Kitchens egocentric action anticipation challenge 2019. Please see our web pages for code and examples: http://iplab.dmi.unict.it/rulstm - https://github.com/fpv-iplab/rulstm.

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Code

fpv-iplab/rulstm officialmentioned in papermentioned on GitHubpytorch report
antoninofurnari/rulstm mentioned on GitHubpytorch report

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Tasks

Action AnticipationAction RecognitionEgocentric Activity RecognitionOptical Flow EstimationRolling Shutter CorrectionTemporal Action Localization

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 1 Accuracy - Act. 14.39 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 1 Accuracy - Noun 22.78 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 1 Accuracy - Verb 33.04 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 5 Accuracy - Act. 33.73 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 5 Accuracy - Noun 50.95 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Seen test set (S1)) RULSTM [24, 23] Top 5 Accuracy - Verb 79.55 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 1 Accuracy - Act. 8.16 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 1 Accuracy - Noun 15.19 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 1 Accuracy - Verb 27.01 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 5 Accuracy - Act. 21.10 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 5 Accuracy - Noun 34.38 #4 of 7 Archive leaderboard report
Action Anticipation EPIC-KITCHENS-55 (Unseen test set (S2) RULSTM [24, 23] Top 5 Accuracy - Verb 69.55 #4 of 7 Archive leaderboard report
Egocentric Activity Recognition EPIC-KITCHENS-55 RULSTM Actions Top-1 (S1) 33.06 #3 of 7 Archive leaderboard report
Egocentric Activity Recognition EPIC-KITCHENS-55 RULSTM Actions Top-1 (S2) 19.49 #3 of 7 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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