MedICaT MedICaT PathVQA SLAKE VQA-RAD Usage Number of Papers202020222024202120230510152025PMC-VQAMedICaTPathVQASLAKELicense Edit Unknown Modalities Edit Images Texts Medical Languages Edit English Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data ...
https://paperswithcode.com/paper/improved-ramen-towards-domain-generalization/review/ 【1】A Survey on VQA: Datasets and Approaches(这篇文章侧重介绍一些推理模型,例如树形结构等,它指出视觉问答重点还在如何推理。 介绍了很多的数据集和推理模型!) 【2】Visual Question Answering: which investigated applications?
本文主要的工作是a scalable pipeline,包括了PMC-VQA——一个大规模的医学视觉问答数据集,包含了227k对VQA对,对应了149K张图片,涵盖了各种模式或疾病;在这个数据集上本文对所提出的模型进行了训练,并在VQA-RAD, SLAKE, and Image-Clef-2019等数据集上进行了微调,得到的结果都优于当前的MedVQA模型。此外,本文提...
Thirdly, we pre-train our proposed model on PMC-VQA and then fine-tune it on multiple public benchmarks, e.g., VQA-RAD and SLAKE, outperforming existing work by a large margin. Additionally, we propose a test set that has undergone manual verification, which is significantly more ...
TheMAMLmodeldata_RAD/pretrained_maml.weightsis trained by using official source codelink. TheCDAEmodeldata_RAD/pretrained_ae.pthis trained by code provided intrain_cdae.py. For reproducing the pretrained model, please check the instruction provided in that file. ...
Folders and files Latest commit TIMMY-CHAN Update pretrain.py 32ee00a· Jun 30, 2024 History34 Commits __pycache__ configs data models transform ACC.py CODEOWNERS README.md eval_peft.py pretrain.py requirements.txt train_rad.py train_slake.py utils.py ...
Paper: Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training readpaper.com/paper/317 arxiv.org/abs/2106.1348 Submitted on 25 Jun 2021 Motivation / Contribution 作者觉得可以从视觉的方面来改进多模态任务。针对视觉的内部信息的学习以及文本与视觉的多模态学习都被封装在...
Paper: Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training readpaper.com/paper/317 arxiv.org/abs/2106.1348 Submitted on 25 Jun 2021 Motivation / Contribution 作者觉得可以从视觉的方面来改进多模态任务。针对视觉的内部信息的学习以及文本与视觉的多模态学习都被封装在...
The MAML model data_RAD/pretrained_maml.weights is trained by using official source code link. The CDAE model data_RAD/pretrained_ae.pth is trained by code provided in train_cdae.py. For reproducing the pretrained model, please check the instruction provided in that file. We also provide th...