Scene Classification on RESISC-45 (TR=20%)
96.36AccuracySelectiveMAE
Evaluation Results
| Method | Links | |
|---|---|---|
| SelectiveMAEBackbone=ViT-L [2], Params (M)=307, Throughput/Minute=533k2024.06 | 96.36 | |
| LSKNet-S#P=14.4M, FLOPS=54.4G2024.03 | 95.83 | |
| SelectiveMAEBackbone=ViT-L [2], Params (M)=307, Throughput/Minute=533k, Pre-training=OpticalRS-13 (4M)2024.06 | 95.77 | |
| LSKNet-T#P=4.3M, FLOPS=19.2G2024.03 | 95.75 | |
| RVSABackbone=VIT-B+RVSA [21], Params (M)=862024.06 | 95.69 | |
| RingMoBackbone=Swin-B [102], Params (M)=882024.06 | 95.67 | |
| RVSA#P=114.4M, FLOPS=301.3G2024.03 | 95.66 | |
| RSP-VITAE#P=19.3M, FLOPS=119.1G2024.03 | 95.6 | |
| MBENet#P=23.9M, FLOPS=108.5G2024.03 | 95.58 | |
| SelectiveMAEBackbone=ViT-B [2], Params (M)=86, Throughput/Minute=556k2024.06 | 95.48 | |
| CTNet2024.03 | 95.4 | |
| FENet#P=23.9M, FLOPS=92.0G2024.03 | 95.39 | |
| KFBNet2024.03 | 95.11 | |
| ScaleMAEBackbone=ViT-L [2], Params (M)=307, Throughput/Minute=206k2024.06 | 95.04 | |
| RSP-R50#P=25.6M, FLOPS=86.3G2024.03 | 95.02 | |
| F2BRBM#P=25.6M, FLOPS=86.3G2024.03 | 94.87 | |
| ConvNext#P=28.0M, FLOPS=93.7G2024.03 | 94.76 | |
| FSCNet#P=28.8M, FLOPS=166.1G2024.03 | 94.76 | |
| GRMANet#P=54.1M, FLOPS=171.4G2024.03 | 94.72 | |
| SatLasBackbone=Swin-B [102], Params (M)=88, Throughput/Minute=243k2024.06 | 94.7 | |
| MBLANet2024.03 | 94.66 | |
| GFMBackbone=Swin-B [102], Params (M)=882024.06 | 94.64 | |
| SelectiveMAEBackbone=ViT-B [2], Params (M)=86, Throughput/Minute=556k, Pre-training=OpticalRS-13 (4M)2024.06 | 94.58 | |
| RSP-Swin#P=27.5M, FLOPS=37.7G2024.03 | 94.51 | |
| MAEBackbone=ViT-B [2], Params (M)=86, Throughput/Minute=264k, Pre-training=OpticalRS-13 (4M)2024.06 | 94.43 | |
| EAM#P=>42.3M, FLOPS=>164.32024.03 | 94.29 | |
| SatMAEBackbone=ViT-L [2], Params (M)=307, Throughput/Minute=205k2024.06 | 94.1 | |
| ViT-B#P=86.0M, FLOPS=118.9G2024.03 | 93.96 | |
| TOVBackbone=ResNet-50 [101], Params (M)=262024.06 | 93.79 | |
| UPetu#P=87.7M, FLOPS=>322.2G2024.03 | 93.79 | |
| IDCCP#P=25.6M, FLOPS=86.3G2024.03 | 93.76 | |
| MSANet#P=>42.3M, FLOPS=>164.32024.03 | 93.52 | |
| LSENet#P=25.9M, FLOPS=>86.3G2024.03 | 93.34 | |
| RingMo-LiteGeneral pre-training=-, Remote sensing pre-training=0.15M, Parameters=30M (Swin-T)2026.05 | 93.25 | |
| MA-FE#P=>25.6M, FLOPS=>86.3G2024.03 | 93.21 | |
| GASSLBackbone=ResNet-50 [101], Params (M)=262024.06 | 93.06 | |
| MG-CAP#P=>42.3M, FLOPS=>164.3G2024.03 | 92.95 | |
| SeCoBackbone=ResNet-50 [101], Params (M)=262024.06 | 92.91 | |
| SCCov#P=13.0M2024.03 | 92.1 | |
| CACOBackbone=ResNet-50 [101], Params (M)=262024.06 | 91.94 | |
| SSL4EOBackbone=ViT-S [2], Params (M)=222024.06 | 91.27 | |
| Foundation ModelGeneral pre-training=-, Remote sensing pre-training=0.28M, Parameters=32M (Swin-T)2026.05 | 88.81 |