Apr 7, 2020 · We design a novel dense regression network (DRN) to regress the distances from each frame to the starting (ending) frame of the video segment described by the ...
In this paper, we propose a dense regression network for video grounding, which consists of four modules, in- cluding a video-query interaction module, a ...
This repo holds the codes and models for the DRN framework presented on CVPR 2020. Dense Regression Network for Video Grounding.
In this paper, we propose a dense regression network for video grounding, which consists of four modules, in- cluding a video-query interaction module, a ...
Thus, we propose a three-step strategy to train the proposed. DRN. Specifically, in the first step, we fix the parameters of the IoU regression head and train ...
We design a novel dense regression network (DRN) to regress the distances from each frame to the starting (ending) frame of the video segment described by the ...
Peihao Chen. Ph.D Candidate. phchencs@gmail.com; South China University of Technology; Guangzhou, China; Google Scholar · Github ...
Dense Regression Network for Video Grounding | Request PDF
www.researchgate.net › publication › 34...
As shown in Fig. 1 (a), proposal-free methods regard video grounding as a generalized regression task, i.e., they directly predict frame-wise boundary ...
Apr 7, 2020 · A novel dense regression network (DRN) is designed to regress the distances between the frame within the ground truth and the starting ...
Dense Regression Network for Video Grounding ... The key idea of this paper is to use the distances between the frame within the ground truth and the starting ( ...