This repository hosts deep neural network checkpoints trained on the 6-band hyperspectral benchmark dataset (330x307x6, 7 classes) for conformal uncertainty quantification and high-precision remote sensing classification. - ViTUNet: Hybrid Vision Transformer and U-Net encoder-decoder architecture - baseline/models/AlexNetCNNbest.keras - baseline/models/GFNetbest.keras - baseline/models/ViTUNetbest.keras - baseline/models/AlexNetCNNfinal.keras - baseline/models/GFNetfinal.keras - baseline/models/ViTUNetfinal.keras
Independent publisher
Danesh Selwal
DaneshSelwal
Models in Library1
Datasets in Library0
Models on Hugging Face2
Followers—
Compare the published evidence
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Reported licenses: mit. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.