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Software . 2021
Data sources: Datacite
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Software . 2021
Data sources: ZENODO
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rwightman/pytorch-image-models: 3rd Party Vision Transformer Weights

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 May 2021Publisher:Zenodo
Authors: Ross Wightman; Chris Ha; Aman Arora; Mike; contrastive; morizin; mrT23; +23 Authors

doi: 10.5281/zenodo.4780578

rwightman/pytorch-image-models: 3rd Party Vision Transformer Weights

Abstract

A catch-all (ish) release for storing vision transformer weights adapted/rehosted from 3rd parties. Too many incoming models for one release per source... Containing weights from: Twins - https://github.com/Meituan-AutoML/Twins Visformer - https://github.com/danczs/Visformer/issues/2

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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