how can we best exploit the ability in the powerful I-VL models, and effectively adapt it to solve novel vision tasks of interest? 目前主流的微调还是存在很多不足。因此,受到CLIP模型中“提示”的启发,我们也可以针对I-VL model进行提示,让多模态模型迁移
VLM和VLP都是多模态中对视觉和语言信息进行处理,其中很大一部分是相同,因此,在阅读VLM之前,可以先阅读MaWB:VLP(视觉语言预训练)这篇文章,其中的一些方法,比如CLIP,也是VLM中非常重要的方法。 其他一些概述性文章如下: ● Vision-Language Models for Vision Tasks: A Survey(2023年) ● Guide to Vision-Language ...
Multimodal Few-Shot Learning with Frozen Language Models: https://arxiv.org/abs/2106.13884 01Prompt vs Fine-tuning (引用刘鹏飞大佬的原话https://zhuanlan.zhihu.com/p/395115779) 图中,圆形表示预训练语言模型,矩形框表示的是各种下游NLP任务。...
This is an official implementation of “Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images” with PyTorch, accepted by CVPR 2024 (Highlight). Paper Link If our work is helpful for your research, please consider citing: ...
(Fig.3a–d). Without training on these datasets, we found that PLIP could still effectively distinguish between various tissue subtypes in the Kather colon dataset (Fig.3a). Compared to the performance of other baseline models (for example, the CLIP model in Extended Data Fig.3b), PLIP ...
[CV] Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings O网页链接 本文提出了一种新方法,通过合成图像和文字数据来提高视觉-语言模型(VLM)的训练效率和效果。该方法使用大型语言模型(LLM)生成文本描述,并通过文本到图像的模型生成相应图像嵌入,从而产生用于VLM训练的合成图像-文字...
High Efficiency: KarmaVLM focuses on exploring the capabilities of small parametric quantitative models on multimodal tasks. So, KarmaVLM can be efficiently deployed on most GPU cards and personal computers, and even on end devices such as mobile phones. ...
Visual Language Models (VLM) which combine both the vision and language modalities have been showing their improving effectiveness in generalization, leading to various practical use cases with zero-shot prompts or few-shot prompts with instructions. A VLM typically consists of three key ele...
在训练阶段,对每个图像的类别按照一种文本范式来构建该图片的描述句子,然后使用一个图像编码器模块和文本编码器模块,分别对图像和文本进行编码得到对应的特征。所有文本特征构成一个文本特征向量,一个 Batch 内的图像特征构成一个图像特征向量,通过计算这两个特征向量间的余弦相似性得到余弦相似矩阵。由于两个向量中的元...
Multimodal Few-Shot Learning with Frozen Language Models Prompt vs Fine-tuning (引用刘鹏飞大佬的原话刘鹏飞:近代自然语言处理技术发展的“第四范式”) 图中,圆形表示预训练语言模型,矩形框表示的是各种下游NLP任务。那么,我们就有这样一句话:大家都是希望让 预训练语言模型和下游任务靠的更近,只是实现的方式不一...