| Paper | Code | Accuracy (%) | ModelName | ReleaseDate |
|---|---|---|---|---|
| A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems | ✓ Link | 100 | µ2Net+ (ViT-L/16) | 2022-09-15 |
| All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification | ✓ Link | 99.88 | AGOS | 2022-05-06 |
| Local semantic enhanced convnet for aerial scene recognition | ✓ Link | 99.78 | LSE-Net | 2021-07-08 |
| In-domain representation learning for remote sensing | ✓ Link | 99.61 | ResNet50 | 2019-11-15 |
| MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels | ✓ Link | 98.33 | MSMatch | 2021-03-18 |
| A multiple-instance densely-connected ConvNet for aerial scene classification | ✓ Link | 97.40 | MIDC-Net | 2020-03-03 |