Masked Spectral Bands Modeling With Shifted Windows: An Excellent Self-Supervised Learner for Classification of Medical Hyperspectral Images-Reference-Cited by-同舟云学术

Masked Spectral Bands Modeling With Shifted Windows: An Excellent Self-Supervised Learner for Classification of Medical Hyperspectral Images

Author:

Li Yuan¹^ORCID,Wu Ruoyu¹,Tan Qijuan²^ORCID,Yang Zhengchun³^ORCID,Huang Hong¹^ORCID

Affiliation:

1. Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China

2. Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China

3. Women and Children's Hospital of Chongqing Medical University, Chongqing, China

Funder

National Natural Science Foundation of China

Innovation Program for Chongqing Overseas Returnees

Graduate Research and Innovation Foundation of Chongqing

Higher Education and Research Grants of NVIDIA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

Reference23 articles.

3. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Represent,0

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