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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Research article (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021) · cited 3,507× · AI/ML
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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Summary

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers is a scholarly article[1].

Key Facts

  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/rethinking-semantic-segmentation-from-a-sequence-to-sequence-perspective-with-transformers
MLA “Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rethinking-semantic-segmentation-from-a-sequence-to-sequence-perspective-with-transformers.
BibTeX @misc{4ortxyz_rethinking-semantic-segmentation-from-a-sequence-to-sequence-perspective-with-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/rethinking-semantic-segmentation-from-a-sequence-to-sequence-perspective-with-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers — https://4ort.xyz/entity/rethinking-semantic-segmentation-from-a-sequence-to-sequence-perspective-with-transformers (retrieved 2026-05-24)

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