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Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond

Research article (IEEE Transactions on Geoscience and Remote Sensing, 2023) · cited 116× · AI/ML
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Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond

Summary

Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond is a scholarly article[1].

Key Facts

  • Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond. Retrieved May 24, 2026, from https://4ort.xyz/entity/trinity-net-gradient-guided-swin-transformer-based-remote-sensing-image-dehazing-and-beyond
MLA “Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trinity-net-gradient-guided-swin-transformer-based-remote-sensing-image-dehazing-and-beyond.
BibTeX @misc{4ortxyz_trinity-net-gradient-guided-swin-transformer-based-remote-sensing-image-dehazing-and-beyond_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond}}, year = {2026}, url = {https://4ort.xyz/entity/trinity-net-gradient-guided-swin-transformer-based-remote-sensing-image-dehazing-and-beyond}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond — https://4ort.xyz/entity/trinity-net-gradient-guided-swin-transformer-based-remote-sensing-image-dehazing-and-beyond (retrieved 2026-05-24)

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