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...
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts". vqaimage-captioninglanguage-modelmulti-task-learningvision-and-languagemulti-modal-learningvision-language-model UpdatedJan 17, 2024 Python microsoft/Oscar Star1k
Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app. tensorflowimage-processingcnnlstmnltktext-processingvgg16streamlitimage-caption-generator UpdatedSep 26, 2024 Jupyter Notebook ...
Generate image captions Generate a caption of an image in human-readable language, using complete sentences. Computer Vision's algorithms generate captions based on the objects identified in the image. The version 4.0 image captioning model is a more advanced implementation and works with a wider ra...
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...
A method of learning an image captioning model according to an embodiment includes extracting features of a first image from a first image and extracting features of a second image from a second image; Obtaining features of the first image including viewpoint information and features of the second...
本文所使用的Image-Text Matching Model即为改进后的SCAN模型。选择这个模型的原因有二:一是它可以在image-text标注上,生成region-word alignment,从而起到一个弱监督的作用;二是在实验过程中作者发现,SCAN模型的grounding能力甚至不如目前较流行的一个captioning模型Up-Down,因此他们认为很有可能是句子中的非名词影响...
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Image Captioning Model - BLIP (Bootstrapping Language-Image Pre-training). This model is designed for unified vision-language understanding and generation tasks. It is trained on the COCO (Common Objects in Context) dataset using a base architecture with a ViT (Vision Transformer) large backbone....