Word image pairing: Select words and images that represent the same thing and pair them one by one. There are two modes: 1. Clear text mode: Both images and…
例如,给定一张图像,查询与之语义对应的文本,反之亦然。具体而言,对于任意输入的文本-图像对(Image-Text Pair),图文匹配的目的是衡量图像和文本之间的语义相似程度。 图1 图文匹配的输入和输出 核心挑战:图像文本跨模态语义关联致力于弥合视觉模态和语言模态之间的语义鸿沟,目的是实现异质模态(底层像素组成的图像和高层...
LAION全称Large-scale Artificial Intelligence Open Network,是一家非营利组织,成员来自世界各地,旨在向公众提供大规模机器学习模型、数据集和相关代码。他们声称自己是真正的Open AI,100%非盈利且100%Free。在九月份,他们公布了一个全新的图像-文本对(image-text pair)数据集,叫LAION-400M。该数据集包含4亿条数据。
BLIP-2(Bootstrapping Language-Image Pre-training) is an AI model that can perform various multi-modal tasks like visual question answering, image-text retrieval (image-text matching) and image captioning. It can analyze an image, understand its content, and generate a relevant and concise captio...
CLIP由于训练集image-text pair比任何已有的anation数据集都包含更丰富的视觉概念,很容易0-shot迁移到下游任务,但是只做文本图片后融合的对齐,由于缺少object级别的细粒度理解,无法应用到到多模态检测任务。 对上面提出目标检测,分割等稠密任务需要text-image细粒度理解问题,现有的grounding任务就是细粒度的text和object的...
1)Existing one-to-one approaches typically project the image and text into a latent common space where semantic relationships between different modalities can be measured through distance computation.之前的工作采用多神经网络来改进特征表示,使语义相关的数据彼此接近,否则变远,例如,多模态卷积神经网络(m-CNN...
利用海量从网络上搜集的图像-文本pair对,利用一个image encoder和一个text encoder分别对图像和文本独立编码,再以对比学习为优化目标训练模型(CLIP细节可以参考历史文章如何发挥预训练CLIP的最大潜力?)。CLIP模型在zero-shot图像分类任务,以及图文匹配和检索等问题上取得出色成绩,但是由于CLIP是图像和文本独立编码,且编码...
Three of a Perfect Pair: Image, Text, and Image-Text NarratorsGavaler, ChrisImage & Narrative
Customizing Text-to-Image Models with a Single Image Pair. Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu. arXiv 2024. [PDF]MuseumMaker: Continual Style Customization without Catastrophic Forgetting. Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong. ...
COYO-700M: Large-scale Image-Text Pair Dataset. Contribute to kakaobrain/coyo-dataset development by creating an account on GitHub.