Hi, Congratulations on your great work. Does OPERA decoding support multi-image input? For example: Image1: <image>\nImage2: <image>\nWhat is the difference between image1 and image2? If not, do you have any plan for this?
[论文阅读] 开源的多模态文档数据集,OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents王junjie 早稻田大学 信息理工与信息通信博士8 人赞同了该文章 目录 收起 1 Idea 2 创建多模态网页文档数据集 2.1 收集HTML文件 2.2 对HTML文件化简 2.3 提取多模态网页文档 2.4 ...
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation. The Journal of Machine Learning Research, 17(1):3729-3759, 2016.H. Shin, L. Lu, L. Kim, A. Seff, J. Yao, and R. Summers. In- terleaved text/image deep mining on a large-...
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation. The Journal of Machine Learning Research, 17(1):... Hoo-Chang Shin,L Lu,L Kim,... - IEEE 被引量: 40发表: 2015年 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Data...
For inference, we provide an example inference script./inference.pyand the corresponding configuration file./mm_interleaved/configs/release/mm_inference.yaml, which natively support interleaved image and text generation. Simply run the following command: ...
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database Hoo-Chang Shin Le Lu Lauren Kim Ari Seff Jianhua Yao Ronald M. Summers Imaging Biomarkers and Computer-Aided Diagnosis Laboratory Radiology and Imaging Sciences National Institutes of Health Clinical Center Bethesda, MD 20892-...
Recently, vision model pre-training has evolved from relying on manually annotated datasets to leveraging large-scale, web-crawled image-text data. Despite these advances, there is no pre-training method that effectively exploits the interleaved image-text data, which is very prevalent on the Intern...
对图文交错(image-text interleaved)数据的处理能力是多模态大模型皇冠上一颗耀眼的宝石,囿于这一类型公开数据的稀缺,开源MLLM的图文交错性能大多不甚理想。 ❓缺乏文档型业务数据的条件下,怎样高效生产图文交错形式的预训练数据呢? ✅浙大和阿里达摩院的同行们把目光投向了各种教程类视频,打造一个【总时长两年半】...
2024/06/13: 🚀 We introduce OmniCorpus, a 10 billion-level image-text interleaved dataset. This dataset contains 8.6 billion images, 1,696 billion text tokens, and 2.2 billion documents! Introduction OmniCorpus dataset is the largest multimodal dataset to date, which pushes the boundaries of ...
OBELICS is an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B text tokens and 353M images. Dataset page:https://huggingface.co/datasets/HuggingFaceM4/OBELICS Visualization of OBELICS web documents:https://huggingface.co/spaces/HuggingFace...