1.Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval:t2v: 47.8 2023 论文:[2308.07648] Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval (arxiv.org) 动机:作者利用promt,实现了学习视频特征语义增强(目前是通过clip一帧一帧的提取图片特征),通过prompt来得到全局视频语义。
在不使用任何后处理的情况下,Cap4Video 在四个标准文本-视频检索基准上达到了最新的性能:MSR-VTT(51.4%)、VATEX(66.6%)、MSVD(51.8%)和 DiDeMo(52.0%)。 一、引言 文本-视频检索是视频语言学习中的一个基础任务。随着图像-语言预训练技术的快速发展 [15, 30, 46, 47],研究者们逐渐将重点放在扩展图像-...
Text–video retrievalLevel-wise aligned mechanismSemantic spaceLatent spaceThe vast amount of videos on the Internet makes efficient and accurate text–video retrieval tasks increasingly important. The current methods leverage a high-dimensional space to align video and text for these tasks. However, a...
【video-text retrieval论文阅读】Align and Prompt: Video-and-Language Pre-training with Entity Prompts 【论文阅读】Align and Prompt: Video-and-Language Pre-training with Entity Prompts CVPR2022 代码地址:https://github.com/salesforce/ALPRO 这个论文还有一部分是视频问答的结果,但是我不主要研究那个方面,...
这篇paper做的任务是video-text retrieval任务,也就是给定文本检索视频或给定视频检索文本。为了应对复杂的语言和视频内容,本文提出了层级化的graph reasoning(HGR),分别从事件(event),action(行为)以及实体(entity)三个层次对视频和语言建模,构建成graph中的node;关于视频和语言的对齐也是分别计算三个层次的score,最后...
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Text-video retrieval is a challenging task that aims to identify relevant videos given textual queries. Compared to conventional textual retrieval, the main obstacle for text-video retrieval is the semantic gap between the textual nature of queries and the visual richness of video content. Previous ...
UATVR: Uncertainty-Adaptive Text-Video RetrievalBo Fang 1∗ Wenhao Wu 2,3∗ Chang Liu 4∗ Yu Zhou 1† Yuxin Song 3Weiping Wang 1 Xiangbo Shu 5 Xiangyang Ji 4 Jingdong Wang 31 Institute of Information Engineering, Chinese Academy of Sciences 2 The University of Sydney3 Baidu Inc. ...
We train VATT end-to-end from scratch using multimodal contrastive losses and evaluate its performance by the downstream tasks of video action recognition, audio event classification, image classification, and text-to-video retrieval. 5 Paper Code How...
The increasing prevalence of video clips has sparked growing interest in text-video retrieval. Recent advances focus on establishing a joint embedding space for text and video, relying on consistent embedding representations to compute similarity. However, the text content in existing datasets is ...