Dense regression network for video grounding
WebAuthors: Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan Description: We address the problem of video grounding from natural lan... WebThe 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 video grounding …
Dense regression network for video grounding
Did you know?
WebDense Regression Network for Video Grounding. This repo holds the codes and models for the DRN framework presented on CVPR 2024. Dense Regression Network for … WebApr 28, 2024 · Video moment retrieval, also known as temporal sentence grounding in video, was first proposed by [1], [2]. Approaches for this task can be divided into two groups, i.e., proposal-based methods and proposal-free methods. ... Dense Regression Network for Video Grounding. CVPR (2024) S. Chen, W. Jiang, W. Liu, Y. Jiang, …
Web[2024][ACL] Parallel Attention Network with Sequence Matching for Video Grounding. [2024][ACMMM] AsyNCE: Disentangling False-Positives forWeakly-Supervised Video … WebA Unified Pyramid Recurrent Network for Video Frame Interpolation Xin Jin · LONG WU · Jie Chen · Chen Youxin · Jay Koo · Cheul-hee Hahm SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field Chong Bao · Yinda Zhang · Bangbang Yang · Tianxing Fan · Zesong Yang · Hujun Bao · Guofeng Zhang · Zhaopeng Cui
WebSep 13, 2024 · Video grounding aims to localize the temporal segment corresponding to a sentence query from an untrimmed video. Almost all existing video grounding methods fall into two frameworks: 1) Top-down model: It predefines a set of segment candidates and then conducts segment classification and regression. 2) Bottom-up model: It directly …
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 …
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 ... sims 4 medieval cc findsWebSep 10, 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. 63 Highly Influential PDF View 5 excerpts, references background sims 4 medieval cheatsWeb3 hours ago · As a result, two main approaches have been developed for video anomaly detection. The first approach involves measuring the magnitude of the error by calculating the reconstruction error of future frames. This is achieved by comparing the predicted future frames with the actual frames and identifying significant differences. sims 4 medieval cas backgroundWebMost existing methods leverage only the visual information of a video while neglecting its audio information, which, however, can be very helpful and important for event localization. For example, humans often recognize an event by reasoning with the visual and audio content simultaneously. rcbc staten islandWebApr 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 … rcbc savings account requirementsWebIn this paper, we propose a dense regression network for video grounding, which consists of four modules, in-cludingavideo-queryinteractionmodule,alocationregres-sionhead, … sims 4 medieval clothesWebApr 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 … rcbc sto tomas