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Event-based Action Recognition by Pre-Training on Multi-Frame Representations

Paper recorded by Signals 4 on 2026-10-09 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-09 on arXiv · recorded by Signals 4 on 2026-10-12

Category: cs.CV · 计算机视觉 · first seen 2026-10-12

Abstract

Action recognition is a crucial task in domains like robotics, patient monitoring, or surveillance. Recently, event-based action recognition has attracted much attention due to the event camera's ability to capture fast motions and its improved privacy over conventional vision cameras. While frame-based event representations work well for short event sequences, their discriminative ability decline

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#302 most recent of 756 cs.CV papers we have recorded · ↑ newer: Revisiting the Task of Building Damage Assessment by Satellite Imaging · ↓ older: SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving Wor
Cite this page: Event-based Action Recognition by Pre-Training on Multi-Frame Representations: the #302 most recent of 756 cs.CV papers we have recorded (as of 2026-10-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/event-based-action-recognition-by-pre-training-on-multi-frame-representations.html
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