Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017

21 Jul 2017 Tianwei Lin Xu Zhao Zheng Shou

In this notebook paper, we describe our approach in the submission to the temporal action proposal (task 3) and temporal action localization (task 4) of ActivityNet Challenge hosted at CVPR 2017. Since the accuracy in action classification task is already very high (nearly 90% in ActivityNet dataset), we believe that the main bottleneck for temporal action localization is the quality of action proposals... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Temporal Action Proposal Generation ActivityNet-1.3 Lin et al. AUC (val) 64.40 # 5
[email protected] 73.01 # 5
AUC (test) 64.80 # 2

Methods used in the Paper


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