MVNet combines 3D-CNN, Transformer, and Mamba in a dual-branch design and claims 99%+ accuracy on three hyperspectral benchmarks, but the experimental reporting is internally inconsistent and the method is not reproducible.
Spatial-spectral transformer for hyperspectral image classification
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
MVNet combines 3D-CNN, Transformer, and Mamba in a dual-branch design and claims 99%+ accuracy on three hyperspectral benchmarks, but the experimental reporting is internally inconsistent and the method is not reproducible.