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Dosovitskiy and colleagues: Vision Transformer image-patch classification

Applied a pure transformer to sequences of image patches for classification, reporting strong transfer after large-scale image pretraining.

What is recorded here?

Applied a pure transformer to sequences of image patches for classification, reporting strong transfer after large-scale image pretraining.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

This is the 2020 ViT preprint, later published at ICLR 2021; results depend on large-scale pretraining and studied recognition benchmarks.

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People and systems

Alexey Dosovitskiy; Lucas Beyer; Alexander Kolesnikov; Dirk Weissenborn; Xiaohua Zhai; Thomas Unterthiner; Mostafa Dehghani; Matthias Minderer; Georg Heigold; Sylvain Gelly; Jakob Uszkoreit; Neil Houlsby

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

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English catalogue narrative

Dosovitskiy and colleagues: Vision Transformer image-patch classification

Applied a pure transformer to sequences of image patches for classification, reporting strong transfer after large-scale image pretraining.

Scientific scope

This is the 2020 ViT preprint, later published at ICLR 2021; results depend on large-scale pretraining and studied recognition benchmarks.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Alexey Dosovitskiy; Lucas Beyer; Alexander Kolesnikov; Dirk Weissenborn; Xiaohua Zhai; Thomas Unterthiner; Mostafa Dehghani; Matthias Minderer; Georg Heigold; Sylvain Gelly; Jakob Uszkoreit; Neil Houlsby

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Original sources