Improving video retrieval by adaptive margin

Author: ndrs

August undefined, 2024

WitrynaImproving Video Retrieval by Adaptive Margin. In Fernando Diaz 0001, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai, editors, SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2024. pages 1359-1368, ACM, 2024. … Witryna28 mar 2024 · In this paper, we propose a novel approach named Hierarchical Transformer (HiT) for video-text retrieval. HiT performs hierarchical cross-modal …

CVPR2024_玖138的博客-CSDN博客

Witryna[He et al. SIGIR21] Improving Video Retrieval by Adaptive Margin. SIGIR, 2024. [paper] [Wang et al. IJCAI21] Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. IJCAI, 2024. [paper] [Chen et al. AAAI21] Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. AAAI, 2024. [paper] WitrynaImproving Video Retrieval by Adaptive Margin Video retrieval is becoming increasingly important owing to the rapid em... 0 Feng He, et al. ∙ share research ∙ 2 months ago StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection In this paper, we propose a cross-modal distillation method named … grain boundary mos2 nature material

Shiyi-Yang911/awesome-video-text-retrieval - githubmemory

Witryna17 mar 2024 · Video retrieval is becoming increasingly important owing to the rapid emergence of videos on the Internet. The dominant paradigm for video retrieval … Witryna6 paź 2024 · In this paper, we propose a novel method that alleviates this by leveraging a generative model to naturally push these related samples together: each sample's … WitrynaImproving Video Retrieval by Adaptive Margin Citing conference paper Jul 2024 Feng He Qi Wang Zhifan Feng Wenbin Jiang Xiao Tan View The most successful models … china light bangor maine menu

Improving Video Retrieval Using Multilingual Knowledge Transfer

Wenbin Jiang

Witryna9 mar 2024 · Many approaches solve the problem by learning a common feature space under to separate the multimodal instances from different categories. But it is challenge to design an effective projecting function. In this paper, we propose a novel cross-modal retrieval method, called Adaptive Margin Ranking for Supervised Cross-modal … Witryna15 paź 2024 · Recently, for video retrieval [He et al. 2024] proposed an adaptive margin proportional to the similarity of item and query as computed by multiple models. ... Relevance-based Margin for... china light bangor seafood delightWitryna30 lip 2024 · Step 2: Click Custom in the Display section. Set the customized area on your screen recording window. Then turn on System Sound to record screen video … grain-boundary topological phase transitions

"WitrynaIn this paper, we target the challenging task of video-text retrieval. The common way for this task is to learn a text-video joint embedding space by cross-modal representation learning, and compute the cross-modality similarity in the joint space. " - Improving video retrieval by adaptive margin

Improving video retrieval by adaptive margin

danieljf24/awesome-video-text-retrieval - Github

WitrynaImproving Video Retrieval by Adaptive Margin . Video retrieval is becoming increasingly important owing to the rapid emergence of videos on the Internet. The dominant paradigm for video retrieval learns video-text representations by pushing the distance between the similarity of positive pairs and that of negative pairs apart from a … WitrynaThis phenomenon leads to inaccurate supervision and poor performance in learning video-text representations. While most video retrieval methods overlook that …

Did you know?

Witryna9 mar 2024 · First, we design the calculation framework of the adaptive margin, including the method of distance measurement and the function between the distance and the margin. Then, we explore a novel implementation called "Cross-Modal Generalized Self-Distillation" (CMGSD), which can be built on the top of most video … Witryna11 lip 2024 · Recently, for video retrieval [He et al. 2024] proposed an adaptive margin proportional to the similarity of item and query as computed by multiple models. …

Witryna17 mar 2024 · In this paper, we propose a framework MKTVR, that utilizes knowledge transfer from a multilingual model to boost the performance of video retrieval. We … Witryna27 kwi 2024 · Video retrieval using natural language queries has attracted increasing interest due to its relevance in real-world applications, from intelligent access in private media galleries to web-scale video search. Learning the cross-similarity of video and text in a joint embedding space is the dominant approach.

Witryna24 lip 2024 · Improving Video Retrieval by Adaptive Margin. 这篇论文的思路比较直接，在视频文本检索领域，常用的是hinge-based triplet loss。主要的目的是想让随机采 … http://export.arxiv.org/abs/2303.05093v1

Witryna1 dzień temu · OCAM leverages an adaptive margin between A - P and A - N distances to improve conformity to the image distribution per dataset, without necessitating …

WitrynaWe present a novel dialogue-to-video retrieval system, incorporating structured conversational information. Experiments conducted on the AVSD dataset show that our proposed approach using plain-text queries improves over the previous counterpart model by 15.8% on R@1. grain boundary solar panels specialWitryna11 kwi 2024 · 内容概述：这篇论文提出了一种名为“Prompt”的面向视觉语言模型的预训练方法。. 通过高效的内存计算能力，Prompt能够学习到大量的视觉概念，并将它们转化为语义信息，以简化成百上千个不同的视觉类别。. 一旦进行了预训练，Prompt能够将这些 … chinalightbulbs.comWitryna1.1.1 The heterogeneity of structures.（结构的异质性）. 这主要是因为不可能将句子中的单词与相应的视频帧直接对齐。. 采用单流结构或双流结构，将文本和视频视为早 … china light boxWitrynaImproving Video Retrieval by Adaptive Margin Feng He, Qi Wang, Zhifan Feng, Wenbin Jiang, Yajuan Lü, Yong Zhu, Xiao Tan. 1359-1368; Comprehensive Linguistic-Visual Composition Network for Image Retrieval Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie. 1369-1378 grain-boundary slidingWitryna17 mar 2024 · Video retrieval has seen tremendous progress with the development of vision-language models. However, further improving these models require additional labelled data which is a huge manual... china light beamWitryna11 kwi 2024 · In this paper, we study the task of unsupervised 2D image-based 3D shape retrieval (UIBSR), which aims to retrieve unlabeled shapes (target domain) using labeled images (source domain). Previous works on UIBSR mainly focus on aligning the prototypes generated by the source labels and predicted target pseudo labels for … grain boundary triple junctionsWitryna9 mar 2024 · This phenomenon leads to inaccurate supervision and poor performance in learning video-text representations. While most video retrieval methods overlook … china light bulb bottle