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Improving Action Localization by Progressive Cross-Stream Cooperation
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Spatio-temporal action localization consists of three levels of tasks: spatial localization, action classification, and temporal segmentation. In this work, we propose a new Progressive Cross-stream Cooperation (PCSC) framework to use both region proposals and features from one stream (i.e. Flow/RGB) to help another stream (i.e. RGB/Flow) to iteratively improve action localization results and generate better bounding boxes in an iterative fashion. Specifically, we first generate a larger set of
doi:10.1109/cvpr.2019.01229
dblp:conf/cvpr/SuOZX19
fatcat:dsjzouvjynhs7ccw7bvshwhuc4