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PaddleRS' base model library originates from the PaddleCV development kits: PaddleClas, PaddleSeg, PaddleDetection and PaddleGAN. In addition, PaddleRS also contains a series of models specially designed for remote sensing tasks, which can be used for remote sensing image segmentation, change detection, etc.
All models currently supported by PaddleRS are listed below (those marked * are dedicated models for remote sensing) :
| Task | Model | Multi-band Support |
|---|---|---|
| Change Detection | *BIT | Yes |
| Change Detection | *CDNet | Yes |
| Change Detection | *ChangeFormer | Yes |
| Change Detection | *ChangeStar | No |
| Change Detection | *DSAMNet | Yes |
| Change Detection | *DSIFN | No |
| Change Detection | *FC-EF | Yes |
| Change Detection | *FC-Siam-conc | Yes |
| Change Detection | *FC-Siam-diff | Yes |
| Change Detection | *FCCDN | Yes |
| Change Detection | *P2V-CD | Yes |
| Change Detection | *SNUNet | Yes |
| Change Detection | *STANet | Yes |
| Scene Classification | CondenseNet V2 | Yes |
| Scene Classification | HRNet | No |
| Scene Classification | MobileNetV3 | No |
| Scene Classification | ResNet50-vd | No |
| Image Restoration | DRN | No |
| Image Restoration | ESRGAN | Yes |
| Image Restoration | LESRCNN | No |
| Image Restoration | SwinIR | Yes |
| Image Restoration | NAFNet | Yes |
| Object Detection | Faster R-CNN | No |
| Object Detection | FCOSR | No |
| Object Detection | PP-YOLO | No |
| Object Detection | PP-YOLO Tiny | No |
| Object Detection | PP-YOLOv2 | No |
| Object Detection | YOLOv3 | No |
| Image Segmentation | BiSeNet V2 | Yes |
| Image Segmentation | DeepLab V3+ | Yes |
| Image Segmentation | *FactSeg | Yes |
| Image Segmentation | *FarSeg | Yes |
| Image Segmentation | Fast-SCNN | Yes |
| Image Segmentation | HRNet | Yes |
| Image Segmentation | UNet | Yes |