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ResearchFormerly WizWand

Scene Classification on UCM

98.81Top-1 AccuracyLWGANet L1
68.504476.372284.2492.1078Jan 17, 2025Mar 12, 2025May 6, 2025Jun 30, 2025Aug 24, 2025Oct 18, 2025Dec 12, 2025
Updated 8mo ago

Evaluation results

MethodLinks
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=224x2242025.0198.81——
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=224x2242025.0198.57——
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=224x2242025.0198.57——
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=224x2242025.0197.86——
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=224x2242025.0197.38——
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=224x2242025.0197.14——
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=224x2242025.0197.14——
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=256x2562025.0197.14——
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=224x2242025.0196.9——
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=224x2242025.0196.43——
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=256x2562025.0196.43——
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=224x2242025.0195.71——
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=224x2242025.0195.24——
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=256x2562025.0195——
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=224x2242025.0194.75——
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=224x2242025.0194.52——
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=224x2242025.0194.29——
GeoZero2025.1193.81——
RemoteCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1291.384.24
VLM2GeoVecEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1290.242.31
RingMo-Agent2025.1188——
GeoChat2025.1184.43——
GeoChatEvaluation Protocol=Zero-shot2025.1284.434.35
GeoRSCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1278.133
SkyCLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1277.712.52
CLIPEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1275.764.86
Qwen3-VL-8B-Instruct2025.1175.71——
VLM2VecEvaluation Protocol=Zero-shot, Prompting=20-prompt ensemble2025.1269.676.57