3 papers
cs.LG2021
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness
Ruiwen Li, Zhibo Zhang, Jiani Li +5
Recent years have seen the introduction of a range of methods for post-hoc explainability of image classifier predictions. However, these post-hoc explanations may not always be fa…
cs.CV2020
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
Jialin Gao, Zhixiang Shi, Jiani Li +4
Accurate temporal action proposals play an important role in detecting actions from untrimmed videos. The existing approaches have difficulties in capturing global contextual infor…
cs.CV2019
Relation-Aware Pyramid Network (RapNet) for temporal action proposal
Jialin Gao, Zhixiang Shi, Jiani Li +3
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 b…