图像字幕(Image Captioning)是计算机视觉的主要目标之一,旨在自动生成图像的自然描述。 它不仅需要识别图像中的显著对象,理解它们的相互作用,还需要使用自然语言来表达它们,这使得它非常具有挑战性。 这段话来自论文Attention on Attention for Image Captioning,其说明了图像字幕任务的3个关键因素: 1)图像中的显著对象;...
Controllable Image Captioning (CIC)——根据指定的控制信号生成图像标注。现存的方法忽略了两个不可缺少的特性,Event-compatible:一个句子中提到的所有视觉内容应该与所描述的活动兼容;Sample-suitable:控制信号应适用于特定的图像样本。 为此,作者提出了一种新的CIC控制信号:Verb-specific Semantic Roles (VSR)。VSR由...
Image captioning in version 3.2 is available in all Azure AI Vision regions. See Region availability. Analyze Image You can analyze images to provide insights about their visual features and characteristics. All of the features in this table are provided by the Analyze Image API. Follow a ...
Image captioning in version 3.2 is available in all Azure AI Vision regions. See Region availability. Analyze Image You can analyze images to provide insights about their visual features and characteristics. All of the features in this table are provided by the Analyze Image API. Follow a ...
This Streamlit app is designed for image captioning and tagging using the Google Gemini AI geminiimage-caption-generatorimage-tags-generatorgoogle-gemini UpdatedApr 27, 2024 Python we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI ...
ClosedCaptioning Windows.Media.ContentRestrictions Windows.Media.Control Windows.Media.Core Windows.Media.Core.Preview Windows.Media.Devices Windows.Media.Devices.Core Windows.Media.DialProtocol Windows.Media.Editing Windows.Media.Effects Windows.Media.FaceAnalysis Windows.Media.Import Windows.Media.Media...
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs Ling Yang,Zhaochen Yu,Chenlin Meng,Minkai Xu,Stefano Ermon,Bin Cui Peking University, Stanford University, Pika Labs Introduction Abstract: RPG is a powerful training-free paradigm that can utilize proprie...
ClosedCaptioning Windows.Media.ContentRestrictions Windows.Media.Control Windows.Media.Core Windows.Media.Core.Preview Windows.Media.Devices Windows.Media.Devices.Core Windows.Media.DialProtocol Windows.Media.Editing Windows.Media.Effects Windows.Media.FaceAnalysis Windows.Media.Import Windows.Media.Media...
38、ClipCap: CLIP Prefix for Image Captioning 论文链接:https://arxiv.org/abs/2111.09734 代码地址:https://github.com/rmokady/CLIP_prefix_caption 视频解读:https://youtu.be/VQDrmuccWDo 在线试用:https://colab.research.google.com/drive/1tuoAC5F4sC7qid56Z0ap-stR3rwdk0ZV?usp=sharing ...
1、CONTA是 第一个使用因果图来分析弱监督语义分割模型中各component之间的关系 ,从而找出了造成现有的pseudo-mask不准确的本质原因是因为数据集中的上下文先验是混淆因子。在此基础上,作者又进一步提出了使用因果干预切断上下文先验和图像之间的关联,从而提升pseudo-mask的质量。