SAR Object Detection on SSDD
97.9mAP50MSFA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MSFAFramework=Faster R-CNN, Backbone=VAN-B, Open Source=true, Year=20242024.03 | 97.9 | — | — | |
| SARATR-XOpen Source=false, Year=20242024.03 | 97.3 | — | — | |
| SARATR-XYear=20242024.05 | 97.3 | 67.5 | 83.5 | |
| CS^2NetYear=20232024.05 | 97.1 | 64.9 | — | |
| CRTransSarOpen Source=false, Year=20222024.03 | 97 | — | — | |
| CRTransSarYear=20222024.05 | 97 | — | 76.2 | |
| FEPS-NetYear=20232024.05 | 96 | 59.9 | 67.5 | |
| CenterNet++Open Source=false, Year=20212024.03 | 95.1 | — | — | |
| CenterNet++Year=20212024.05 | 95.1 | — | — | |
| NRENetOpen Source=false, Year=20242024.03 | 94.6 | — | — | |
| YOLO-LiteYear=20232024.05 | 94.4 | — | — | |
| FBR-NetOpen Source=false, Year=20202024.03 | 94.1 | — | — | |
| FBR-NetYear=20212024.05 | 94.1 | — | 59.1 | |
| Faster R-CNN + VAN-BFramework=Faster R-CNN, Backbone=VAN-B, Open Source=true, Year=20232024.03 | 92.9 | — | — | |
| DCNOpen Source=true, Year=20172024.03 | 92.3 | — | — | |
| SER Faster R-CNNOpen Source=false, Year=20182024.03 | 91.5 | — | — | |
| PANETOpen Source=true, Year=20182024.03 | 91.2 | — | — | |
| Double-Head R-CNNOpen Source=true, Year=20202024.03 | 91.1 | — | — | |
| Free-AnchorOpen Source=true, Year=20192024.03 | 91 | — | — | |
| HR-SDNetOpen Source=false, Year=20202024.03 | 90.8 | — | — | |
| DAPNOpen Source=false, Year=20192024.03 | 90.6 | — | — | |
| Cascade R-CNNOpen Source=true, Year=20192024.03 | 90.5 | — | — | |
| ARPNOpen Source=false, Year=20202024.03 | 89.9 | — | — | |
| Faster R-CNNOpen Source=true, Year=20152024.03 | 89.7 | — | — | |
| DCMSNMOpen Source=false, Year=20182024.03 | 89.6 | — | — | |
| Grid R-CNNOpen Source=true, Year=20192024.03 | 88.9 | — | — | |
| NNAMOpen Source=false, Year=20192024.03 | 79.8 | — | — | |
| R18 + Proposed RKDDetector=Two-Stage (Faster R-CNN), Params (M)=31.22026.05 | 68.03 | — | 82.35 | |
| R18 + Vanilla KDDetector=Two-Stage (Faster R-CNN), Params (M)=31.22026.05 | 67.76 | — | 81.78 | |
| R101 (Teacher)Detector=Two-Stage (Faster R-CNN), Params (M)=63.82026.05 | 66.7 | — | 82.26 | |
| SARVLMDetBackbone=ViT-B-16, Detection Head=Faster R-CNN2025.10 | 65.1 | — | 79.8 | |
| R18 (Student)Detector=Two-Stage (Faster R-CNN), Params (M)=31.22026.05 | 62.87 | — | 74.64 | |
| R18 (Student)Detector=One-Stage (RetinaNet), Params (M)=23.52026.05 | 61.12 | — | 70.72 | |
| R101 (Teacher)Detector=One-Stage (RetinaNet), Params (M)=56.62026.05 | 60.99 | — | 72.11 | |
| R18 + Vanilla KDDetector=One-Stage (RetinaNet), Params (M)=23.52026.05 | 60.74 | — | 70.99 | |
| R18 + Proposed RKDDetector=One-Stage (RetinaNet), Params (M)=23.52026.05 | 60.33 | — | 70.65 | |
| FEPS-Net2025.10 | 59.9 | — | 67.5 | |
| R50 + Proposed RKDDetector=Transformer (DETR), Params (M)=41.32026.05 | 59.7 | — | 69.02 | |
| R50 (Student)Detector=Transformer (DETR), Params (M)=41.32026.05 | 59.37 | — | 68.94 | |
| R101 (Teacher)Detector=Transformer (DETR), Params (M)=60.32026.05 | 59.33 | — | 69.61 | |
| FCOS2025.10 | 56 | — | 61.7 | |
| Cascade R-CNN2025.10 | 55.1 | — | 60.3 | |
| Faster R-CNN2025.10 | 54.4 | — | 61.1 | |
| RetinaNet2025.10 | 51.7 | — | 54.3 |