πŸ“„
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, B. Guo
⭐ 66.3
πŸ“„
Paper

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, B. Guo 2103.14030
Free2AITools Nexus Index
66.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 97
P: Popularity 82
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. To address these differences, we propose a hierarchical Transformer whose representation is computed with Shifted window...

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Semantic Scholar 29.1K Citations
Paper Information Summary
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Registry ID 2103.14030
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{arxiv_2103_14030,
  author = {Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, B. Guo},
  title = {Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2103.14030}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, B. Guo. (2026). Swin Transformer: Hierarchical Vision Transformer using Shifted Windows [Paper]. Free2AITools. https://arxiv.org/abs/2103.14030

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Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 97
Popularity (P) 82
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Swin Transformer: Hierarchical Vision Transformer using Shifted Windows: Authority (A:97), Popularity (P:82), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

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πŸ“ Executive Summary

"This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. To address these differences, we propose a hierarchical Transformer whose representation is computed with Shifted window..."

❝ Cite Node 

@article{Liu2026Swin,
  title={Swin Transformer: Hierarchical Vision Transformer using Shifted Windows},
  author={Ze Liu and Yutong Lin and Yue Cao and Han Hu and Yixuan Wei and Zheng Zhang and Stephen Lin and B. Guo},
  journal={arXiv preprint arXiv:2103.14030},
  year={2026}
}

πŸ‘₯ Collaborating Minds

Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo

πŸ”— Full Paper

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Read the full paper on arXiv

πŸ“Š Research Signals

πŸ“ˆ29,118CitationsSemantic Scholar
πŸ›οΈ97AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈvision multimediaField

🏷️ Research Topics

vision modelstransformer architectureimage generation
πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

id
2103.14030
slug
2103.14030
source
semantic_scholar
author
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, B. Guo
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

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0
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citations
29,118

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