Contrastive Learning Of Medical Visual Representations From Paired Images And Text | PDF ...
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Benchmarking Vision-Language Contrastive Methods For Medical Representation Learning | AI ...
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ID 05: Contrastive Learning of Medical Visual Representations from Paired Images and Text
ID 05: Contrastive Learning of Medical Visual Representations from Paired Images and Text
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 How transferable are general-domain representations to the medical domain%3F (ii) Is multimodal contrastive training sufficient%2C or does it benefit from unimodal training as well%3F (iii) What is the impact of feature granularity on the effectiveness of multimodal medical representation learning%3F To answer these questions%2C we investigate eight contrastive learning approaches under identical training setups%2C and train them on 2.8 million image-text pairs from four datasets%2C and evaluate them on 25 downstream tasks%2C including classification (zero-shot and linear probing)%2C image-to-text and text-to-image retrieval%2C and visual question-answering. Our findings suggest a positive answer to the first question%2C a negative answer to the second question%2C and the benefit of learning fine-grained features. Finally%2C we make our code publicly available.?resize=91,91 "Benchmarking Vision-Language Contrastive Methods For Medical Representation Learning | AI ...")
![[논문 리뷰] Unsupervised Multiview Contrastive Language-Image Joint Learning With Pseudo-Labeled ...](https://i0.wp.com/moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/unsupervised-multiview-contrastive-language-image-joint-learning-with-pseudo-labeled-prompts-via-vision-language-model-for-3d4d-facial-expression-recognition-0.png?resize=91,91 "[논문 리뷰] Unsupervised Multiview Contrastive Language-Image Joint Learning With Pseudo-Labeled ...")
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