Remote Sensing Scene Classification on RESISC45
98AccuracySatlasNet
Evaluation Results
| Method | Links | |
|---|---|---|
| SatlasNetGeneral pre-training=-, Remote sensing pre-training=0.90M (SatlasPretrain), Parameters=88M (Swin-B), Evaluation Protocol=Fine-tuned2026.05 | 98 | |
| SatMAE++General pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.70M (fMoW-Sentinel), Parameters=307M (ViT-L), Evaluation Protocol=Fine-tuned2026.05 | 97.5 | |
| Multiple modelsBackbone=ViT-L/142022.08 | 96.9 | |
| Multiple modelsBackbone=ViT-B/162022.08 | 96.4 | |
| Joint patchingBackbone=ViT-L/142022.08 | 96.3 | |
| DOFAGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.50M (Diverse), Parameters=307M (ViT-L), Evaluation Protocol=Fine-tuned2026.05 | 96.1 | |
| Domain-adaptive pre-training2021.11 | 95.89 | |
| Scale-MAE*General pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.40M (FMoW-RGB), Parameters=307M (ViT-L), Evaluation Protocol=Fine-tuned2026.05 | 95.7 | |
| Foundation ModelGeneral pre-training=-, Remote sensing pre-training=0.28M, Parameters=30M (Swin-T), Evaluation Protocol=Fine-tuned2026.05 | 95.59 | |
| Multiple modelsBackbone=ViT-B/322022.08 | 95 | |
| ConvMAE*General pre-training=1.3M (ImageNet-1k), Remote sensing pre-training=-, Parameters=195M (ConvVit-L), Evaluation Protocol=Fine-tuned2026.05 | 95 | |
| SatMAE*General pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.70M (fMoW-Sentinel), Parameters=307M (ViT-L), Evaluation Protocol=Fine-tuned2026.05 | 94.8 | |
| PCNet2021.11 | 94.59 | |
| GLDBS2021.11 | 94.46 | |
| Seq. patchingBackbone=ViT-L/14, Seed=12022.08 | 94.3 | |
| Million-AIDPre-training dataset=Million-AID2021.11 | 94.26 | |
| Joint patchingBackbone=ViT-B/162022.08 | 94.2 | |
| DOFAGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.50M (Diverse), Parameters=86M (ViT-B), Evaluation Protocol=Fine-tuned2026.05 | 93.8 | |
| Seq. patchingBackbone=ViT-L/14, Seed=22022.08 | 93.7 | |
| ResNet50+EANBackbone=ResNet502021.11 | 93.51 | |
| MAEGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=-, Parameters=307M (ViT-L), Evaluation Protocol=Fine-tuned2026.05 | 93.3 | |
| Joint patchingBackbone=ViT-B/322022.08 | 92.6 | |
| DOFAGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.50M (Diverse), Parameters=307M (ViT-L), Evaluation Protocol=Frozen2026.05 | 91.9 | |
| DOFAGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.50M (Diverse), Parameters=86M (ViT-B), Evaluation Protocol=Frozen2026.05 | 91.3 | |
| Foundation ModelGeneral pre-training=-, Remote sensing pre-training=0.28M, Parameters=30M (Swin-T), Evaluation Protocol=Frozen2026.05 | 91.27 | |
| Seq. patchingBackbone=ViT-L/14, Seed=02022.08 | 90.8 | |
| Scale-MAE*General pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.40M (FMoW-RGB), Parameters=307M (ViT-L), Evaluation Protocol=Frozen2026.05 | 89.6 | |
| Seq. patchingBackbone=ViT-B/16, Seed=12022.08 | 89 | |
| MAEGeneral pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=-, Parameters=307M (ViT-L), Evaluation Protocol=Frozen2026.05 | 88.9 | |
| SatMAE*General pre-training=14.0M (ImageNet-21k), Remote sensing pre-training=0.70M (fMoW-Sentinel), Parameters=307M (ViT-L), Evaluation Protocol=Frozen2026.05 | 88.3 | |
| Seq. patchingBackbone=ViT-B/16, Seed=22022.08 | 87.4 | |
| Seq. patchingBackbone=ViT-B/32, Seed=12022.08 | 85.9 | |
| Parallel patchingBackbone=ViT-L/142022.08 | 85.8 | |
| SatMAEViT=Large, Evaluation Protocol=Linear probing2025.05 | 85 | |
| Seq. patchingBackbone=ViT-B/32, Seed=22022.08 | 84.7 | |
| SatMAE++ViT=Large, Evaluation Protocol=Linear probing2025.05 | 84.13 | |
| Seq. patchingBackbone=ViT-B/16, Seed=02022.08 | 83.9 | |
| ConvMAE*General pre-training=1.3M (ImageNet-1k), Remote sensing pre-training=-, Parameters=195M (ConvVit-L), Evaluation Protocol=Frozen2026.05 | 81.2 | |
| Seq. patchingBackbone=ViT-B/32, Seed=02022.08 | 77.1 | |
| Parallel patchingBackbone=ViT-B/162022.08 | 74.4 | |
| Sat2SoundViT=Base, Evaluation Protocol=Linear probing2025.05 | 74.4 | |
| Parallel patchingBackbone=ViT-B/322022.08 | 71.7 | |
| UnpatchedBackbone=ViT-L/142022.08 | 71 | |
| UnpatchedBackbone=ViT-B/162022.08 | 65.8 | |
| UnpatchedBackbone=ViT-B/322022.08 | 60.7 | |
| xCLIPBackbone=ViT-B/16, Pre-trained on=IT35M, Mode=Zero-shot2022.10 | 43.6 | |
| CLIPBackbone=ViT-B/16, Pre-trained on=IT35M, Mode=Zero-shot2022.10 | 39.7 | |
| nCLIPBackbone=ViT-B/16, Pre-trained on=IT35M, Mode=Zero-shot2022.10 | 21.2 |