1.Captioning: 字幕器是一个image-grounded text decoder。它以给定图像解码文本为 LM 目标进行微调。给定网络图像 I_w ,字幕器生成字幕 T_s。 2.Filtering: 过滤器是一个 image-grounded text encoder。它根据 ITC 和 ITM 目标进行微调,以了解文本是否与图像匹配。如果 ITM 头预测文本与图像不匹配,则该文本...
因此近几年来大量的工作致力于图像字幕（image captioning），这项任务简而言之就是“使用语法和语义正确...
Attention-based models, including transformer, are the current state-of-the-art architectures used in developing image captioning model. This study examines the works in the development of image captioning model, especially models that are developed based on attention mechanism. The architecture, the ...
Image Captioning using CNN-RNN Arquitecture DescriptionThis project explores the intersection of deep learning and natural language processing (NLP) by implementing a model that generates captions for images. The model is based on the paper "Show, Attend and Tell: Neural Image Caption Generation ...
Meshed-Memory Transformer for Image Captioning. CVPR 2020 pytorchtransformerimage-captioningcaptioning-imagesvisual-semanticcaption-generationcvpr2020 UpdatedDec 21, 2022 Python subho406/OmniNet Star512 Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | ...
Even though saliency information could be useful to condition an image captioning architecture, by providing an indication of what is salient and what is not, research is still struggling to incorporate these two techniques. In this work, we propose an image captioning approach in which a ...
Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture Article Open access 05 September 2024 Introduction Image synthesis from natural language descriptions is a field of research focusing on generating visual content, such as images or illustrations, based on ...
The organization of the paper is as follows: First a brief descriptions about the previous works in image captioning, which is followed by the proposed model architecture and detailed experiments and results. Finally the conclusion of the work is also provided. ...
In this paper, we consider the image captioning task from a new sequence-to-sequence prediction perspective and propose Caption TransformeR (CPTR) which takes the sequentialized raw images as the input to Transformer. Compared to the "CNN+Transformer" design paradigm, our model can model global ...
Image Captioning:图像标题需要模型为给定图像生成文字说明。图 3(b) 显示,在微调过程中,图像-标签-文本生成预训练的相同组件也得到了利用。以往的图像-文本生成模型在控制生成的描述内容方面具有挑战性。我们的方法结合了图像标签识别解码器识别出的综合标签,有效提高了生成文本的性能。此外,用户还可以输入其他引导标签...