Dense regression network for video grounding
WebJun 19, 2024 · Dense Regression Network for Video Grounding Abstract: We address the problem of video grounding from natural language queries. The key challenge in … WebDense Regression Network for Video Grounding alvin-zeng/drn • • CVPR 2024 The key idea of this paper is to use the distances between the frame within the ground truth and the …
Dense regression network for video grounding
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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. WebCVF Open Access
WebJun 24, 2024 · As noted in paper [a, b], the video grounding task requires the machine to watch a video and localize the starting and ending time of the target video segment that corresponds to the given query. In contrast, our proposed tasks focus on locating the spatial location in each video frame. 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 …
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 … WebJan 14, 2024 · TLDR. This paper addresses the problem of text-to-video temporal grounding using a novel regression-based model that learns to extract a collection of mid-level features for semantic phrases in a text query, which corresponds to important semantic entities described in the query. Expand. 106. PDF.
WebApr 7, 2024 · Request PDF Dense Regression Network for Video Grounding We address the problem of video grounding from natural language queries. The key challenge in this task is that one training video ...
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 … maryland w2Web[2024][ACL] Parallel Attention Network with Sequence Matching for Video Grounding. [2024][ACMMM] AsyNCE: Disentangling False-Positives forWeakly-Supervised Video … maryland w2 copyWebThe 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 … husky pressure washer 1800WebDense Regression Network for Video Grounding. We address the problem of video grounding from natural language queries. The key challenge in this task is that one … husky pressure washer 1800 psiWebIn this paper, we propose a dense regression network for video grounding, which consists of four modules, in-cluding a video-query interaction module, a location regres-sion head, … husky pressure washer home depotWebJul 29, 2024 · Dense Regression Network for Video Grounding. Runhao Zeng, Haoming Xu, Wen-bing Huang, Peihao Chen, Mingkui Tan, Chuang Gan; ... TLDR. 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 … husky pressure washer 2600 psiWebJun 1, 2024 · Regression (Psychology) Dense Regression Network for Video Grounding DOI: 10.1109/CVPR42600.2024.01030 Authors: Runhao Zeng South China University of Technology Haoming Xu Wenbing Huang Renmin... maryland w4