arXiv (Cornell University)· 2021· Preprint
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
- 1,201citations
- 2021year
Short summary
SpectralFormer, a novel transformer backbone, achieves superior hyperspectral image classification by learning spectrally local sequence information and fusing shallow layer features via cross-layer skip connections.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Media Technology
Media TechnologyEngineering