zero-shotvideo captioning. 利用LLM模型来生成caption 利用caption进行数据增强 video captioner可以生成多个caption(比如20个),除了数据集中给定的query-video为正样本外,caption-video也可以作为正样本,为了避免生成的caption包含噪声,以至于caption完全和视频内容无关,作者通过使用预训练的文本编码器计算caption-query之间的...
零-shot captioning的贡献数据增强：通过caption-video作为训练正样本，增强模型的泛化能力，减少噪声干扰。Video-Caption交互：利用caption减少冗余特征，学习更具有判别性的视频表示，通过多种交互方法，如sum、MLP、Cross Transformer和Co-attention Transformer。Query-Caption辅助匹配：通过caption的全局特征与quer...
这样其实是只用文本蕴含任务的数据训练,得到了图文蕴含任务的模型,是zero-shot learning。这个过程的简单示意图如下: 4. Few-shot 解决VQA问题 文中还验证了CLIP + few-shot learning能给VQA任务带来多少提升,通过在小样本上finetune CLIP模型的部分参数,提升CLIP在zero-shot VQA上的效果。作者将VQAv2数据集按照问题...
Zero-Shot Performance Visual captioning Model:zeronlg-4langs-vc's multilingual decoder + CLIP's ViT-B-32 image encoder. DatasetLanguageTypeBLEU@1BLEU@2BLEU@3BLEU@4METEORROUGE-LCIDEr-DSPICE Flickr30KEnglishImage46.427.215.58.913.031.321.07.6 ...
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [CVPR 2022] Check out our follow-up work - Zero-Shot Video Captioning with Evolving Pseudo-Tokens! [Paper] [Notebook] [Caption Demo] [Arithmetic Demo] [Visual Relations Dataset] ⭐ New: Run captioning...
The basic idea is to detect the shot boundaries first for news video, and then frames containing topic caption texts are identified to get news story segmentation cues using text detection algorithm. In the next step, silence clips in... H Liu 被引量: 8发表: 2004年 News story segmentation...
Zero and few shot action recognition in videos with caption semantic and generative assist Gayathri Thriloka...,Mamatha Hosalli R... - 《International Journal of Information Technology》 - 2024 - 被引量: 0 A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied ...
Figure 1: Zero-shot transfer. Our single multi-domain metric depth estimation model can be applied across domains, indoor or outdoor, simulated or real. Top: Input RGB. Bottom: Predicted depth. From left to right: iBims-1, DIML Outdoor, Hypersim, DIODE Indoor, vKITTI2, SUN-RGBD, ...
《Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners 》 arxiv链接:arxiv.org/pdf/2212.0497 摘要翻译: 这项工作探索了一种有效的方法,为包括开集视频分类(open-vocabulary video classification)、文本到视频检索、视频字幕生成和视频问答等任务建立一个基础的视频-文本模型。我们提出了VideoCoCa...
用最朴素的对比损失训练双塔网络，拉齐了两个模态的特征空间。在近30个数据集上zero-shot达到或超越主流...