PaddleRS' base model library comes from the PaddleCV development kits: PaddleClas, PaddleSeg, PaddleDetection and PaddleGAN. In addition, PaddleRS also contains a series of remote sensing feature models, which can be used for remote sensing image segmentation and change detection.
All models currently supported by PaddleRS are as follows (those marked * are dedicated models for remote sensing) :
Task | Model | Multiband 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 |
Object Detection | Faster R-CNN | 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 |