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arXiv · 2411.07945

SimBase: A Simple Baseline for Temporal Video Grounding

Peijun Bao·Alex C. Kot
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Abstract

This paper presents SimBase, a simple yet effective baseline for temporal video grounding. While recent advances in temporal grounding have led to impressive performance, they have also driven network architectures toward greater complexity, with a range of methods to (1) capture temporal relationships and (2) achieve effective multimodal fusion. In contrast, this paper explores the question: How effective can a simplified approach be? To investigate, we design SimBase, a network that leverages lightweight, one-dimensional temporal convolutional layers instead of complex temporal structures. For cross-modal interaction, SimBase only employs an element-wise product instead of intricate multimodal fusion. Remarkably, SimBase achieves state-of-the-art results on two large-scale datasets. As a simple yet powerful baseline, we hope SimBase will spark new ideas and streamline future evaluations in temporal video grounding.

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Peijun Bao, Alex C. Kot. 2024-11-12. SimBase: A Simple Baseline for Temporal Video Grounding. https://arxiv.org/abs/2411.07945

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