Scene Classification on UCM
98.81Top-1 AccuracyLWGANet L1
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LWGANet L1Backbone Type=Hybrid, Params. (M)=5.90, FLOPs (G)=0.709, GPU Speed (FPS)=6418, CPU Speed (FPS)=34.08, ARM Speed (FPS)=375.8, Training image size=224x2242025.01 | 98.81 | — | — | |
| LWGANet L0Backbone Type=Hybrid, Params. (M)=1.72, FLOPs (G)=0.186, GPU Speed (FPS)=13234, CPU Speed (FPS)=80.00, ARM Speed (FPS)=687.8, Training image size=224x2242025.01 | 98.57 | — | — | |
| LWGANet L2Backbone Type=Hybrid, Params. (M)=13.0, FLOPs (G)=1.87, GPU Speed (FPS)=3308, CPU Speed (FPS)=16.18, ARM Speed (FPS)=274.3, Training image size=224x2242025.01 | 98.57 | — | — | |
| MobileNet V2 2.0×Backbone Type=CNN, Params. (M)=8.81, FLOPs (G)=1.17, GPU Speed (FPS)=5567, CPU Speed (FPS)=17.03, ARM Speed (FPS)=372.3, Training image size=224x2242025.01 | 97.86 | — | — | |
| Efficientformer V2 S2Backbone Type=Transformer, Params. (M)=12.3, FLOPs (G)=1.26, GPU Speed (FPS)=642, CPU Speed (FPS)=24.74, ARM Speed (FPS)=123.8, Training image size=224x2242025.01 | 97.38 | — | — | |
| MobileNet V2 1.0×Backbone Type=CNN, Params. (M)=2.28, FLOPs (G)=0.319, GPU Speed (FPS)=11301, CPU Speed (FPS)=49.11, ARM Speed (FPS)=785.4, Training image size=224x2242025.01 | 97.14 | — | — | |
| Efficientformer V2 S0Backbone Type=Transformer, Params. (M)=3.36, FLOPs (G)=0.396, GPU Speed (FPS)=1299, CPU Speed (FPS)=54.00, ARM Speed (FPS)=272.0, Training image size=224x2242025.01 | 97.14 | — | — | |
| MobileViT SBackbone Type=Hybrid, Params. (M)=5.03, FLOPs (G)=1.75, GPU Speed (FPS)=2681, CPU Speed (FPS)=10.20, ARM Speed (FPS)=152.7, Training image size=256x2562025.01 | 97.14 | — | — | |
| Efficientformer V2 S1Backbone Type=Transformer, Params. (M)=5.87, FLOPs (G)=0.661, GPU Speed (FPS)=1211, CPU Speed (FPS)=36.96, ARM Speed (FPS)=204.5, Training image size=224x2242025.01 | 96.9 | — | — | |
| PVT V2 B0Backbone Type=Transformer, Params. (M)=3.42, FLOPs (G)=0.533, GPU Speed (FPS)=3843, CPU Speed (FPS)=40.26, ARM Speed (FPS)=243.4, Training image size=224x2242025.01 | 96.43 | — | — | |
| MobileViT XSBackbone Type=Hybrid, Params. (M)=2.02, FLOPs (G)=0.900, GPU Speed (FPS)=3300, CPU Speed (FPS)=12.99, ARM Speed (FPS)=306.3, Training image size=256x2562025.01 | 96.43 | — | — | |
| PVT V2 B1Backbone Type=Transformer, Params. (M)=13.5, FLOPs (G)=2.04, GPU Speed (FPS)=2369, CPU Speed (FPS)=15.96, ARM Speed (FPS)=145.3, Training image size=224x2242025.01 | 95.71 | — | — | |
| EdgeViT XXSBackbone Type=Transformer, Params. (M)=3.79, FLOPs (G)=0.546, GPU Speed (FPS)=4153, CPU Speed (FPS)=46.36, ARM Speed (FPS)=259.9, Training image size=224x2242025.01 | 95.24 | — | — | |
| MobileViT XXSBackbone Type=Hybrid, Params. (M)=1.03, FLOPs (G)=0.333, GPU Speed (FPS)=4811, CPU Speed (FPS)=31.87, ARM Speed (FPS)=453.6, Training image size=256x2562025.01 | 95 | — | — | |
| FasterNet T0Backbone Type=CNN, Params. (M)=2.68, FLOPs (G)=0.338, GPU Speed (FPS)=18276, CPU Speed (FPS)=106.4, ARM Speed (FPS)=839.7, Training image size=224x2242025.01 | 94.75 | — | — | |
| FasterNet T1Backbone Type=CNN, Params. (M)=6.37, FLOPs (G)=0.855, GPU Speed (FPS)=11876, CPU Speed (FPS)=51.42, ARM Speed (FPS)=650.1, Training image size=224x2242025.01 | 94.52 | — | — | |
| FasterNet T2Backbone Type=CNN, Params. (M)=13.8, FLOPs (G)=1.91, GPU Speed (FPS)=6852, CPU Speed (FPS)=26.40, ARM Speed (FPS)=669.8, Training image size=224x2242025.01 | 94.29 | — | — | |
| GeoZero2025.11 | 93.81 | — | — | |
| RemoteCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 91.38 | 4.2 | 4 | |
| VLM2GeoVecEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 90.24 | 2.3 | 1 | |
| RingMo-Agent2025.11 | 88 | — | — | |
| GeoChat2025.11 | 84.43 | — | — | |
| GeoChatEvaluation Protocol=Zero-shot2025.12 | 84.43 | 4.3 | 5 | |
| GeoRSCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 78.1 | 3 | 3 | |
| SkyCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 77.71 | 2.5 | 2 | |
| CLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 75.76 | 4.8 | 6 | |
| Qwen3-VL-8B-Instruct2025.11 | 75.71 | — | — | |
| VLM2VecEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.12 | 69.67 | 6.5 | 7 |