WebJun 1, 2024 · Regression (Psychology) Dense Regression Network for Video Grounding DOI: 10.1109/CVPR42600.2024.01030 Authors: Runhao Zeng South China University of … WebMay 18, 2024 · A Temporal Adjacent Network (2D-TAN) is proposed, a single-shot framework for moment localization that is capable of encoding the adjacent temporal relation, while learning discriminative features for matching video moments with referring expressions. Expand 200 Highly Influential PDF View 11 excerpts, references methods …
Dense Regression Network for Video Grounding
WebApr 7, 2024 · The key idea of this paper is to use the distances between the frame within the ground truth and the starting (ending) frame as dense supervisions to improve the … WebSpecifically, 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 query. We also propose a simple but effective IoU regression head module to explicitly consider the localization quality of the grounding results (i.e., the IoU between the ... holley 61004m
Dense Regression Network for Video Grounding Request PDF
WebMay 19, 2024 · Scenario identification plays an important role in assisting unmanned aerial vehicle (UAV) cognitive communications. Based on the scenario-dependent channel characteristics, a support vector machine (SVM)-based air-to-ground (A2G) scenario identification model is proposed. WebApr 1, 2024 · A novel dense regression network (DRN) is designed to regress the distances between the frame within the ground truth and the starting (ending) frame of the video segment described by the query to improve the video grounding accuracy. Expand. 136. Highly Influential. PDF. View 4 excerpts, references background and methods; WebAuthors: Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan Description: We address the problem of video grounding from natural lan... holley 6109 carburetor