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Models/STNet

STNet

Reported on 11 benchmarks across 4 tasks · 2 papers

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

Computer Vision11 results

HyperspectralonPavia University
Overall Accuracy· 2025-06-10
100
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
HyperspectralonIndian Pines
Overall Accuracy· 2025-06-10
99.77
best: 99.94 (KANet)
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
Image ClassificationonPavia University
Overall Accuracy· 2025-06-10
100
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
Image ClassificationonIndian Pines
Overall Accuracy· 2025-06-10
99.77
best: 99.94 (KANet)
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
Hyperspectral Image SegmentationonPavia University
Overall Accuracy· 2025-06-10
100
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
Hyperspectral Image SegmentationonIndian Pines
Overall Accuracy· 2025-06-10
99.77
best: 99.94 (KANet)
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating arXiv:2506.08324
Change DetectiononWHU-CD
F1· 2023-04-22
87.46
best: 95.24 (CLAFA-LWGANet L2)
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images arXiv:2304.11422
Change DetectiononWHU-CD
IoU· 2023-04-22
77.72
best: 90.92 (CLAFA-LWGANet L2)
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images arXiv:2304.11422
Change DetectiononWHU-CD
Overall Accuracy· 2023-04-22
98.85
best: 99.58 (ChangeMamba)
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images arXiv:2304.11422
Change DetectiononWHU-CD
Precision· 2023-04-22
87.84
best: 96.57 (C2FNet)
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images arXiv:2304.11422
Change DetectiononWHU-CD
Recall· 2023-04-22
87.08
best: 93.6 (BiFA)
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images arXiv:2304.11422