- Rotated RetinaNet-OBB/HBB (ICCV'2017)
- Rotated FasterRCNN-OBB (TPAMI'2017)
- Rotated RepPoints-OBB (ICCV'2019)
- Rotated FCOS (ICCV'2019)
- RoI Transformer (CVPR'2019)
- Gliding Vertex (TPAMI'2020)
- Rotated ATSS-OBB (CVPR'2020)
- CSL (ECCV'2020)
- R3Det (AAAI'2021)
- S2A-Net (TGRS'2021)
- ReDet (CVPR'2021)
- Beyond Bounding-Box (CVPR'2021)
- Oriented R-CNN (ICCV'2021)
- GWD (ICML'2021)
- KLD (NeurIPS'2021)
- SASM (AAAI'2022)
- Oriented RepPoints (CVPR'2022)
- KFIoU (arXiv)
- G-Rep (stay tuned)
| Backbone | mAP | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size | Configs | Download |
|---|---|---|---|---|---|---|---|---|---|
| ResNet50 (1024,1024,200) | 59.44 | oc | 1x | 3.45 | 15.6 | - | 2 | rotated_reppoints_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 64.55 | oc | 1x | 3.38 | 15.7 | - | 2 | rotated_retinanet_hbb_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 65.59 | oc | 1x | 3.12 | 18.5 | - | 2 | rotated_atss_hbb_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 66.45 | oc | 1x | 3.53 | 15.3 | - | 2 | sasm_reppoints_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 68.42 | le90 | 1x | 3.38 | 16.9 | - | 2 | rotated_retinanet_obb_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 68.79 | le90 | 1x | 2.36 | 22.4 | - | 2 | rotated_retinanet_obb_r50_fpn_fp16_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 69.49 | le135 | 1x | 4.05 | 8.6 | - | 2 | g_reppoints_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 69.51 | le90 | 1x | 4.40 | 24.0 | - | 2 | rotated_retinanet_obb_csl_gaussian_r50_fpn_fp16_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 69.55 | oc | 1x | 3.39 | 15.5 | - | 2 | rotated_retinanet_hbb_gwd_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 69.60 | le90 | 1x | 3.38 | 15.1 | - | 2 | rotated_retinanet_hbb_kfiou_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 69.63 | le135 | 1x | 3.45 | 16.1 | - | 2 | cfa_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 69.76 | oc | 1x | 3.39 | 15.6 | - | 2 | rotated_retinanet_hbb_kfiou_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 69.77 | le135 | 1x | 3.38 | 15.3 | - | 2 | rotated_retinanet_hbb_kfiou_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 69.79 | le135 | 1x | 3.38 | 17.2 | - | 2 | rotated_retinanet_obb_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 69.80 | oc | 1x | 3.54 | 12.4 | - | 2 | r3det_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 69.94 | oc | 1x | 3.39 | 15.6 | - | 2 | rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 70.18 | oc | 1x | 3.23 | 15.6 | - | 2 | r3det_tiny_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 70.64 | le90 | 1x | 3.12 | 18.2 | - | 2 | rotated_atss_obb_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 70.70 | le90 | 1x | 4.18 | - | 2 | rotated_fcos_sep_angle_r50_fpn_1x_dota_le90 | model | log | |
| ResNet50 (1024,1024,200) | 71.28 | le90 | 1x | 4.18 | - | 2 | rotated_fcos_r50_fpn_1x_dota_le90 | model | log | |
| ResNet50 (1024,1024,200) | 71.76 | le90 | 1x | 4.23 | - | 2 | rotated_fcos_csl_gaussian_r50_fpn_1x_dota_le90 | model | log | |
| ResNet50 (1024,1024,200) | 71.83 | oc | 1x | 3.54 | 12.4 | - | 2 | r3det_kld_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 71.89 | le90 | 1x | 4.18 | - | 2 | rotated_fcos_kld_r50_fpn_1x_dota_le90 | model | log | |
| ResNet50 (1024,1024,200) | 71.94 | le135 | 1x | 3.45 | 16.1 | - | 2 | oriented_reppoints_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 72.29 | le135 | 1x | 3.19 | 18.8 | - | 2 | rotated_atss_obb_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 72.68 | oc | 1x | 3.62 | 12.2 | - | 2 | r3det_kfiou_ln_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 72.76 | oc | 1x | 3.44 | 14.0 | - | 2 | r3det_tiny_kld_r50_fpn_1x_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 73.23 | le90 | 1x | 8.45 | 16.4 | - | 2 | gliding_vertex_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 73.40 | le90 | 1x | 8.46 | 16.5 | - | 2 | rotated_faster_rcnn_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 73.45 | oc | 40e | 3.45 | 16.1 | - | 2 | cfa_r50_fpn_40e_dota_oc | model | log |
| ResNet50 (1024,1024,200) | 73.91 | le135 | 1x | 3.14 | 15.5 | - | 2 | s2anet_r50_fpn_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 74.19 | le135 | 1x | 2.17 | 17.4 | - | 2 | s2anet_r50_fpn_fp16_1x_dota_le135 | model | log |
| ResNet50 (1024,1024,200) | 75.63 | le90 | 1x | 7.37 | 21.2 | - | 2 | oriented_rcnn_r50_fpn_fp16_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 75.69 | le90 | 1x | 8.46 | 16.2 | - | 2 | oriented_rcnn_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 75.75 | le90 | 1x | 7.56 | 19.3 | - | 2 | roi_trans_r50_fpn_fp16_1x_dota_le90 | model | log |
| ReResNet50 (1024,1024,200) | 75.99 | le90 | 1x | 7.71 | 13.3 | - | 2 | redet_re50_refpn_fp16_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,200) | 76.08 | le90 | 1x | 8.67 | 14.4 | - | 2 | roi_trans_r50_fpn_1x_dota_le90 | model | log |
| ResNet50 (1024,1024,500) | 76.50 | le90 | 1x | 17.5 | MS+RR | 2 | rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90 | model | log | |
| ReResNet50 (1024,1024,200) | 76.68 | le90 | 1x | 9.32 | 10.9 | - | 2 | redet_re50_refpn_1x_dota_le90 | model | log |
| Swin-tiny (1024,1024,200) | 77.51 | le90 | 1x | 10.9 | - | 2 | roi_trans_swin_tiny_fpn_1x_dota_le90 | model | log | |
| ResNet50 (1024,1024,500) | 79.66 | le90 | 1x | 14.4 | MS+RR | 2 | roi_trans_r50_fpn_1x_dota_ms_rr_le90 | model | log | |
| ReResNet50 (1024,1024,500) | 79.87 | le90 | 1x | 10.9 | MS+RR | 2 | redet_re50_refpn_1x_dota_ms_rr_le90 | model | log |
MSmeans multiple scale image split.RRmeans random rotation.
The above models are trained with 1 * 1080Ti/2080Ti and inferred with 1 * 2080Ti.