This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection. We mainly use FPN-based two-stage detector, and it is completed by YangXue and YangJirui.
Model | Backbone | Training data | Val data | mAP | Model Link | InLD | lr schd | Data Augmentation | GPU | Image/GPU | Configs |
---|---|---|---|---|---|---|---|---|---|---|---|
FPN (baseline) | ResNet50_v1 (600,800,1024)->800 | DOTA1.0 trainval | DOTA1.0 test | 69.35 | model | No | 1x | No | 2X GeForce RTX 2080 Ti | 1 | cfgs_dota1.0_res50_v2.py |
FPN | ResNet50_v1 (600,800,1024)->800 | DOTA1.0 trainval | DOTA1.0 test | 70.87 | model | Yes | 1x | No | 2X GeForce RTX 2080 Ti | 1 | cfgs_dota1.0_res50_v3.py |
Model | Backbone | mAP | Paper Link | Code Link |
---|---|---|---|---|
FR-O (DOTA) | ResNet101 | 52.93 | CVPR2018 | code |
R2CNN | ResNet101 | 60.67 | arXiv:1706.09579 | code |
RRPN | ResNet101 | 61.01 | TMM arXiv:1703.01086 | code |
RetinaNet-H | ResNet101 | 64.73 | arXiv:1908.05612 | code |
ICN | ResNet101 | 68.16 | ACCV2018 | - |
RoI Transformer | ResNet101 | 69.56 | CVPR2019 | code |
SCRDet | ResNet101 | 72.61 | ICCV2019 | code |
FADet | ResNet101 | 73.28 | ICIP2019 | - |
R3Det | ResNet152 | 73.74 | arXiv:1908.05612 | code |
APE | ResNeXt-101(32x4) | 75.75 | arXiv:1906.09447 | - |
OWSR | Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) | 76.36 | CVPR2019 WorkShop | - |
Model | Backbone | mAP | Paper Link | Code Link |
---|---|---|---|---|
FR-H (DOTA) | ResNet101 | 60.46 | CVPR2018 | code |
ICN | ResNet101 | 72.45 | ACCV2018 | - |
IoU-Adaptive R-CNN | ResNet101 | 72.72 | Remote Sensing | - |
EFR | VGG16 | 73.49 | Remote Sensing | code |
SCRDet | ResNet101 | 75.35 | ICCV2019 | code |
FADet | ResNet101 | 75.38 | ICIP2019 | - |
A2RMNet | ResNet101 | 78.45 | Remote Sensing | - |
OWSR | Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) | 78.79 | CVPR2019 WorkShop | - |
DM-FPN | ResNet-Based | 79.27 | Remote Sensing | - |
Model | Backbone | mAP | Paper Link | Code Link |
---|---|---|---|---|
APE | ResNeXt-101(32x4) | 78.34 | arXiv:1906.09447 | - |
OWSR | Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) | 76.6 | CVPR2019 WorkShop | - |
Model | Backbone | mAP | Paper Link | Code Link |
---|---|---|---|---|
OWSR | Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) | 79.5 | CVPR2019 WorkShop | - |