GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
论文:Unified Vision-Language Pre-Training for Image Captioning and VQA 链接:https://arxiv.org/abs/1909.11059 源码:https://github.com/LuoweiZhou/VLP 该文章提出的模型既可以完成生成式任务,又可以完成理解式任务,并且使用共享的多层Transformer层进行编码和解码。VLP在大量的图文对上进行预训练,训练任务为“i...
github地址为: 求求大家给个star吧 xmu-xiaoma666/ImageCaptionMetricsgithub.com/xmu-xiaoma666/ImageCaptionMetrics 第一个好好做的github项目,希望大家能够多多star支持一下。 ---分割线--- 下面是readme # Eval Tools for Imgae Captioning & NLP ## 1.Introduction This repository contains 2 tools: A...
Image Captioning代码复现 Image caption generation:https://github.com/eladhoffer/captionGen Simple encoder-decoder image captioning:https://github.com/udacity/CVND---Image-Captioning-Project (Paper)StyleNet: Generating Attractive Visual Captions with Styles:https://github.com/kacky24/stylenet...
这一点对于一些特殊的任务会更加明显,比如说specific domain下的image captioning,有一个任务叫医疗影像...
这一点对于一些特殊的任务会更加明显,比如说specific domain下的image captioning,有一个任务叫医疗影像...
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...
为了解决这个问题,LAION-COCO 和 BLIP-LAION[8] 等提出了通过 image captioning model 生成 synthetic caption。但合成字幕中较为简单的句法和语义结构可能会导致缺失可扩展性和缺乏世界知识。CapFusion利用大语言模型整合原始 caption 和 synthetic caption,在丰富的世界知识和结构化且语法简单之间取得了较好的平衡。
Code: https://github.com/sail-sg/ptp EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding Paper: https://arxiv.org/abs/2209.14941 Code: https://github.com/yanmin-wu/EDA CapDet: Unifying Dense Captioning and Open-World Detection Pretraining ...