Work

Guided Attention for Next Active Object @ EGO4D STA Challenge

Year: 2023

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2305.16066

Authors: Thakur, Sanket, Beyan, Cigdem, Morerio, Pietro, Murino, Vittorio, Del Bue, Alessio

Institutions: Italian Institute of Technology, University of Genoa, University of Trento, University of Verona

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4378501536

Cites:

Cited by: 1

Related to: 10