Papers › Guided Attention for Next Active Object @ EGO4D STA Challenge
Guided Attention for Next Active Object @ EGO4D STA Challenge
Sanket Thakur, Cigdem Beyan, Pietro Morerio, Vittorio Murino, Alessio Del Bue
In this technical report, we describe the Guided-Attention mechanism based solution for the short-term anticipation (STA) challenge for the EGO4D challenge. It combines the object detections, and the spatiotemporal features extracted from video clips, enhancing the motion and contextual information, and further decoding the object-centric and motion-centric information to address the problem of STA in egocentric videos. For the challenge, we build our model on top of StillFast with Guided Attention applied on fast network. Our model obtains better performance on the validation set and also achieves state-of-the-art (SOTA) results on the challenge test set for EGO4D Short-Term Object Interaction Anticipation Challenge.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Short-term Object Interaction Anticipation | Ego4D | GANOv2 | Noun (Top5 mAP) | 20.52 | #3 of 4 | Archive leaderboard | report |
| Short-term Object Interaction Anticipation | Ego4D | GANOv2 | Noun+TTC (Top5 mAP) | 7.28 | #3 of 4 | Archive leaderboard | report |
| Short-term Object Interaction Anticipation | Ego4D | GANOv2 | Noun+Verb(Top5 mAP) | 10.42 | #3 of 4 | Archive leaderboard | report |
| Short-term Object Interaction Anticipation | Ego4D | GANOv2 | Overall (Top5 mAP) | 3.99 | #3 of 4 | 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.
Methods
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