Classification on Knots-10 tight knots (test)
97.22Test AccuracySwin-T
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Swin-TParams=27.5M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=General Architectures2026.03 | 97.22 | 97.2 | |
| TransFGParams=86.4M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=FGVC-Specialized Methods2026.03 | 97.15 | 97.2 | |
| ResNet-18Params=11.2M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=General Architectures2026.03 | 96.88 | 96.9 | |
| ViT-B/16Params=85.8M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=General Architectures2026.03 | 96.39 | 96.4 | |
| EfficientNet-B0Params=4.0M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=General Architectures2026.03 | 96.25 | 96.3 | |
| ResNet-50Params=23.5M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=General Architectures2026.03 | 95.83 | 95.9 | |
| Graph-FGVCParams=26.8M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=FGVC-Specialized Methods2026.03 | 95.49 | 95.5 | |
| PMGParams=23.6M, Pre-trained=ImageNet, Evaluation Protocol=tightness-stratified, Architecture Category=FGVC-Specialized Methods2026.03 | 94.51 | 94.5 |