From grids to pseudo-regions: Dynamic memory augmented image captioning with dual relation transformerImage captioningPseudo-regionDynamic memoryCross-modal attention fusionTransformerIntroduce a Dual Relation Transformer (DRTran) model for image captioning.Design dual relation enhancement encoder to complement ...
Meshed-Memory Transformer for Image Captioning 1. Meshed-Memory Transformer的基本原理和结构 Meshed-Memory Transformer(M^2 Transformer)是一种基于Transformer的图像描述模型,它引入了记忆增强(Memory-Augmented)的编码器和网格状(Meshed)的解码器。这种结构使得模型能够更好地理解和生成图像描述。 Memory-Augmented Enc...
一、摘要 二、模型结构 2.1 Memory-Augmented Encoder 2.2 Meshed Decoder 主要是对这篇笔记进行搬运,稍微加了一点和自己目前任务相关的内容。 一、摘要 论文在Transformer的基础上,对于Image Caption任务,提出了一个全新的fully-attentive网络。同时借鉴了之前任务提出的两个key novelties: 以multi-level 的方式进行encod...
To move forward, in this paper, we propose a novel Memory-Augmented zero-shot image Captioning framework (MeaCap). Specifically, equipped with a textual memory, we introduce a retrieve-then-filter module to get key concepts that are highly related to the image. By deploying our proposed ...
Memory-Augmented Attention 为了克服self-attention的这一限制,作者提出了一种memory-augmented attentionoperator。用于self-attention的键和值的集合被扩展为额外的“slots”,它可以编码先验信息。 为了强调先验信息不应该依赖于输入集X,键和值被实现为可直接通过SGD更新的普通可学习向量。operator定义如下: ...
3.2.3 Image RetrievalKnowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval CVPR 20243.2.4 Image Caption#RNN;LSTM;GRURecurrent Relational Memory Network for Unsupervised Image Captioning IJCAI 2020#transformerMemory-Augmented Image Captioning AAAI 2021 Retrieval-Augmented Transformer for Image ...
we introduce a highly effective retrieval-augmented image captioning method that prompts LLMs with object names retrieved from External Visual--name memory (EVCap). We build ever-changing object knowledge memory using objects' visuals and names, enabling us to (i) update the memory at a minimal...
本篇文章的结构方面的改进即在于对self-attention和cross-attention的改进——memory augmented attention和Meshed Cross-Attention Abstract & Conclusion objection:Transformer基的模型在其他地方state-of-the-art,但是在image caption探索的还比较少。为了fill the gap ,我们提出了M^2(Meshed Transformer with Memory) ...
EVC AP : Retrieval-Augmented Image Captioningwith External Visual–Name Memory for Open-World ComprehensionJiaxuan Li 1∗ , Duc Minh Vo 1∗ , Akihiro Sugimoto 2 , Hideki Nakayama 11 The University of Tokyo, Japan 2 National Institute of Informatics, Japan{li,vmduc}@nlab.ci.i.u-tokyo.ac...
Hence CMT can be integrated into existing statistical learning algorithms as an augmented memory unit without substantially increasing training and inference computation. Furthermore CMT operates as a reduction to classification, allowing it to benefit from advances in representation or architecture. We ...