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arXiv · 1908.03448

Relation-Aware Pyramid Network (RapNet) for temporal action proposal

Jialin Gao·Zhixiang Shi·Jiani Li·Yufeng Yuan·Jiwei Li·Xi Zhou
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Abstract

In this technical report, we describe our solution to temporal action proposal (task 1) in ActivityNet Challenge 2019. First, we fine-tune a ResNet-50-C3D CNN on ActivityNet v1.3 based on Kinetics pretrained model to extract snippet-level video representations and then we design a Relation-Aware Pyramid Network (RapNet) to generate temporal multiscale proposals with confidence score. After that, we employ a two-stage snippet-level boundary adjustment scheme to re-rank the order of generated proposals. Ensemble methods are also been used to improve the performance of our solution, which helps us achieve 2nd place.

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Jialin Gao, Zhixiang Shi, Jiani Li, Yufeng Yuan, Jiwei Li, Xi Zhou. 2019-08-09. Relation-Aware Pyramid Network (RapNet) for temporal action proposal. https://arxiv.org/abs/1908.03448

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