Masked Language Modeling(MLM),最早被 Talylor 在文献中提出,广为人知是因为 BERT 模型将其改编为一种新颖的预训练任务。 VLP 模型中的 MLM 模型类似于预训练语言模型(PLM) 中的 MLM,但不仅通过其余文本标记而且还通过视觉标记来预测被屏蔽的文本标记。根据经验,遵循 BERT 的 VLP 模型以 15% 的概率随机屏蔽每...
4.3 Image-Text Matching (ITM) 图像文本匹配 MLM和MRP有助于VLP模型学习图像和文本之间的细粒度相关性,而ITM使二者在粗粒度级别进行对齐,即要求模型确定图像和文本是否匹配,给出对齐概率。 关键是如何在单个向量中表示图像-文本对,以便得分函数可以输出一个概率 4.4 Cross-Modal Contrastive Learning (CMCL) 跨模态...
跨模态预训练任务包括Masked Language Modeling (MLM)、Masked Region Prediction (MRP)和Image-Text Matching (ITM)。MLM和MRP有助于学习图像和文本之间的细粒度相关性，而ITM在粗粒度级别上使二者进行对齐，即要求模型确定图像和文本是否匹配并输出对齐概率。跨模态对比学习（CMCL）输入图像和文本匹配的正...
objectives,pre-training datasets,and downstream tasks.Then,we summarize the specific VLP models in detail.Finally,we discuss the new frontiers in VLP.To the best of our knowledge,this is the first survey focused on VLP.We hope that this survey can shed light on future research in the VLP ...
这篇文章给大家详细梳理了Vision-Language多模态建模方法,对经典的多模态典型工作进行分类整理,包括16篇顶会论文,帮助大家快速了解多模态模型发展脉络。 1 综述 首先给大家推荐两篇多模态的综述类文章,都是2022年发表的,一篇是VLP: A Survey on Vision-Language Pre-training(2022),另一篇是An Empirical Study of ...
models. The unified VLP model is pre-trained on a large amount of image-text pairs using the unsupervised learning objectives of two tasks: bidirectional and sequence-to-sequence (seq2seq) masked vision-language prediction. The two tasks differs solely in what context the predic...
VLP: A Survey on Vision-Language Pre-training VLP:视觉语言预训练研究综述 论文地址: https://arxiv.org/pdf/2202.09061.pdf 摘要: 在过去几年中,训练前模型的出现将计算机视觉(CV)和自然语言处理(NLP)等单峰领域带入了一个新时代。大量工作表明,它们有利于下游单峰任务,避免从头开始训练新模型。那么,这种预先...
Recently, vision-language pretraining (VLP) has made great progress in improving the vision-language fusion module by pretraining it on a large-scale paired image-text corpus. The most representative approach is to train large Transformer-based models on massive image-text pair...
Vision-Language Pre-Training (VLP) has shown promising capabilities to alignimage and text pairs, facilitating a broad variety of cross-modal learningtasks. However, we observe that VLP models often lack the visualgrounding/localization capability which is critical for many downstream taskssuch as vis...
Unified Vision-Language Pre-Training for Image Captioning and VQA, AAAI 2020,[code], (VLP) UNITER: Learning Universal Image-text Representations, arXiv 2019/09[code] Task-specific VCR:Fusion of Detected Objects in Text for Visual Question Answering, EMNLP 2019,[code], (B2T2) ...