Sep 30, 2021 · We propose a novel method named Dense Boundary and Actionness Map (DBAM). This method trains a self-attention model to evaluate the importance of each word in ...
This method trains a self-attention model to evaluate the importance of each word in the query sentence. Then it constructs a two-dimensional visual feature map ...
Yushu Liu's 3 research works with 1 citations, including: DBAM: Dense Boundary and Actionness Map for Action Localization in Videos via Sentence Query.
Readers: Everyone. DBAM: Dense Boundary and Actionness Map for Action Localization in Videos via Sentence Query · Weigang Zhang, Yushu Liu, Jianping Zhong ...
Readers: Everyone. DBAM: Dense Boundary and Actionness Map for Action Localization in Videos via Sentence Query · hmtl icon · Weigang Zhang, Yushu Liu, Jianping ...
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Qingming Huang · View · DBAM: Dense Boundary and Actionness Map for Action Localization in Videos via Sentence Query. Chapter. Sep 2021. Weigang ...
This paper presents an efficient algorithm to tackle temporal localization of activities in videos via sentence queries.
Missing: DBAM: Dense Boundary Map
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This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train clas- sifiers for a pre-defined list of actions ...
Missing: DBAM: Actionness