2021-10-01 · conference-paper · Advanced Neural Network Applications · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a conference paper on advanced neural network applications, as indicated by its title. Because it is a conference paper, this work has undergone peer review and therefore carries more weight than a preprint.
4 cited facts
This work is the product of a small team of three researchers.
1 cited fact
With 31,931 citations, this work has already become an established reference point in its field, reflecting outsized influence. It draws on 140 referenced works, situating it within a substantial scholarly context.
3 cited facts
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows is a conference-paper, focusing on Advanced Neural Network Applications, published in 2021.
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows has 31,931 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Swin Transformer: Hierarchical Vision Transformer using Shifted Windows and references 140 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
Source facts, citations, and refresh stamp for this record.
Sources: openalex_works