most citedMedical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification

2 citations · 3 across the 2 of their papers we have counts for

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2 papers

cs.CV2023★ 2 cited

Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification

Jiawei Mao, Shujian Guo, Yuanqi Chang +2

Masked autoencoders (MAEs) have displayed significant potential in the classification and semantic segmentation of medical images in the last year. Due to the high similarity of hu…

cs.CV2022★ 1 cited

Improvements to Self-Supervised Representation Learning for Masked Image Modeling

Jiawei Mao, Xuesong Yin, Yuanqi Chang +1

This paper explores improvements to the masked image modeling (MIM) paradigm. The MIM paradigm enables the model to learn the main object features of the image by masking the input…