KANet

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

HyperspectralonIndian Pines
Overall Accuracy· 2025-04-21
99.94
SOTA
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155
Image ClassificationonIndian Pines
Overall Accuracy· 2025-04-21
99.94
SOTA
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155
Hyperspectral Image SegmentationonIndian Pines
Overall Accuracy· 2025-04-21
99.94
SOTA
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155
HyperspectralonPavia University
Overall Accuracy· 2025-04-21
99.99
best: 100 (JigsawHSI)
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155
Image ClassificationonPavia University
Overall Accuracy· 2025-04-21
99.99
best: 100 (JigsawHSI)
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155
Hyperspectral Image SegmentationonPavia University
Overall Accuracy· 2025-04-21
99.99
best: 100 (JigsawHSI)
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification arXiv:2504.15155