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Image Classification on RSSCN7 (Comprehensive Metrics)

94.46AccuracyProposed
48.034460.087272.1484.1928Mar 6, 2026

Evaluation results

MethodLinks
ProposedTotal parameters=495.5 M, Trainable Parameters=8.1 M, Training Epoch=802026.0394.4694.6194.4694.4892.13493.55
Swin TransformerTotal parameters=195.95 M, Trainable Parameters=0.95 M, Training Epoch=1002026.0391.79——————
DeiTTotal parameters=86.65 M, Trainable Parameters=0.56 M, Training Epoch=1002026.0391.07——————
ViT BaseTotal parameters=86.36 M, Trainable Parameters=0.95 M, Training Epoch=1002026.0389.11——————
Inception-ResnetV2Total parameters=54.9 M, Trainable Parameters=0.56 M, Training Epoch=1002026.0388.57——————
XceptionTotal parameters=22.62 M, Trainable Parameters=0.57 M, Training Epoch=1002026.0387.32——————
P2FEViTTotal parameters=5.63 M, Trainable Parameters=1.58 M, Training Epoch=1002026.0384.11——————
XCiTTotal parameters=84 M, Trainable Parameters=0.56 M, Training Epoch=1002026.0380.89——————
SigLIPTotal parameters=400 M, Trainable Parameters=0, Training Epoch=02026.0359.64——————
CLIP - ViT-L/14Total parameters=891 M, Trainable Parameters=0, Training Epoch=02026.0358.75——————
CLIP - ResNet50Total parameters=244 M, Trainable Parameters=0, Training Epoch=02026.0349.82——————