Sep 20, 2023 · In this article, we integrate two designs and propose an efficient transfer learning method for Med-VQA named VQA-Adapter.
As a new exploration of visual question answering in medical areas, Med-VQA aims to answer relevant medical questions in natural language based on input medical ...
In this article, we integrate two designs and propose an efficient transfer learning method for Med-VQA named VQA-Adapter. To alleviate training costs, we ...
Aug 20, 2023 · We present the first study to explore PETL methods for VLN tasks and propose a VLN-specific PETL method named VLN-PETL.
We proposed a novel model, PeFoMed for efficiently solving Med-VQA tasks by fine-tuning MLLM trained in general domain using PEFT techniques.
A collection of resources on parameter-efficient transfer learning. Citation If you find our survey and repository useful for your research, please cite it ...
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Missing: Medical | Show results with:Medical
Recently, fine-tuning language models pre-trained on large text corpora have provided huge improvements on vision-and-language (V&L) tasks as well as on ...
Missing: Medical | Show results with:Medical
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What does transfer learning mean in the context of medical imaging?
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Oct 21, 2023 · This paper studies how to adapt 2D pre-trained models on the 3D segmentation problem, particularly focusing on the medical domain. Authors claimed they intend ...
Missing: Answering. | Show results with:Answering.
This paper designs a novel unified parameter-efficient transfer learning framework that works effectively on both pure language and V&L tasks