24 citations · 150 across the 25 of their papers we have counts for
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cs.CV2020★ 4 cited
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Mingfei Gao, Yingbo Zhou, Ran Xu +2
Online action detection in untrimmed videos aims to identify an action as it happens, which makes it very important for real-time applications. Previous methods rely on tedious ann…
cs.CV2020★ 11 cited
Proposal Learning for Semi-Supervised Object Detection
Peng Tang, Chetan Ramaiah, Yan Wang +2
In this paper, we focus on semi-supervised object detection to boost performance of proposal-based object detectors (a.k.a. two-stage object detectors) by training on both labeled…