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Rotated Object Detection on DOTA 1.0 (test)

82.24mAPSTD
68.844872.322475.879.2776Mar 20, 2024Jul 16, 2024Nov 11, 2024Mar 9, 2025Jul 5, 2025Oct 31, 2025Feb 27, 2026

Evaluation results

MethodLinks
STDBackbone=HiViT-B2024.0382.24———————————————
LSKNetBackbone=LSKNet-S2024.0381.85———————————————
ARCBackbone=ARC-R502024.0381.77———————————————
STDBackbone=ViT-B2024.0381.66———————————————
MAE + MTPBackbone=ViT-L + RVSA2024.0381.66———————————————
MAEBackbone=ViT-L + RVSA2024.0381.43———————————————
RTMDet-RBackbone=RTMDet-R-1, MS=true2024.0381.33———————————————
R3Det-KFIoUBackbone=ResNet-152, MS=true2024.0381.03———————————————
RVSABackbone=ViT-B + RVSA2024.0381.01———————————————
Oriented RCNNBackbone=ResNet-50, MS=true2024.0380.87———————————————
MAEBackbone=ViT-B + RVSA2024.0380.83———————————————
IMP + MTPBackbone=InternImage-XL2024.0380.77———————————————
PP-YOLOE-RBackbone=CRN-x, MS=true2024.0380.73———————————————
MAE + MTPBackbone=ViT-B + RVSA2024.0380.67———————————————
AOPGBackbone=ResNet-50, MS=true2024.0380.66———————————————
DODetBackbone=ResNet-50, MS=true2024.0380.62———————————————
R3Det-DEABackbone=ReResNet-50, MS=true2024.0380.37———————————————
IMPBackbone=InternImage-XL2024.0380.24———————————————
R3Det-GWDBackbone=ResNet-152, MS=true2024.0380.23———————————————
PIIDetBackbone=ResNeSt-101, MS=true2024.0380.21———————————————
R3Det-KLDBackbone=ResNet-50, MS=true2024.0380.17———————————————
ReDetBackbone=ReResNet-50, MS=true2024.0380.1———————————————
S2ANetBackbone=ResNet-50, MS=true2024.0379.42———————————————
SMLFRBackbone=ConvNeXt-L, MS=false2024.0379.33———————————————
AO2-DETRBackbone=ResNet-50, MS=true2024.0379.22———————————————
SASMBackbone=ResNeXt-101, MS=true2024.0379.17———————————————
S-RCNN+oursBackbone=StripNet-S, FAA Head=Included, Scale=single scale2026.0278.7289.8183.2752.9377.0679.5784.988.3190.8987.186.4366.4368.0475.5479.0371.48
LSKNet+oursBackbone=LSKNet-S, FAA Head=Included, Scale=single scale2026.0278.4989.8585.0755.3977.7779.384.7288.5690.987.7486.2968.3767.7477.1974.1464.3
CoLinBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0278.39———————————————
PKINetVenue=CVPR’24, Backbone=PKINet-S, Scale=single scale2026.0278.3989.7284.255.8177.6380.2584.4588.1290.8887.5786.0766.8670.2377.4773.6262.94
FULLBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0278.31———————————————
ADAPTERBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0278.27———————————————
S-RCNNVenue=AAAI’26, Backbone=StripNet-S, Scale=single scale2026.0278.0989.5683.8653.6576.2779.3184.9388.2490.8987.6985.8866.1568.1175.7373.3267.79
RSPBackbone=VITAEv2-S, MS=false2024.0377.72———————————————
LORANDBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0277.65———————————————
GRAVenue=ECCV’24, Backbone=R50-GRA, Scale=single scale2026.0277.63———————————————
LSKNetVenue=IJCV’24, Backbone=LSKNet-S, Scale=single scale2026.0277.4989.6685.5257.7275.774.9578.6988.2490.8886.7986.3866.9263.7777.7774.4764.82
ADAPTFORMERBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0277.43———————————————
CMIDBackbone=Swin-B, MS=false2024.0377.36———————————————
R3Det-KLDVenue=NIPS’21, Backbone=ResNet50, Scale=single scale2026.0277.3688.984.1755.869.3578.7284.088789.7584.3285.7364.7461.876.6278.4970.89
ARCVenue=ICCV’23, Backbone=R50-ARC, Scale=single scale2026.0277.3589.482.4855.3373.8879.3784.0588.0690.986.4484.8363.6370.3274.2971.9165.43
GGHLBackbone=DarkNet-53, MS=false2024.0376.95———————————————
ReDiffDetVenue=CVPR’25, Backbone=Swin-T, Scale=single scale2026.0276.6282.8982.952.4770.880.4885.4188.9790.986.9787.3560.2465.0176.6174.2864.07
O-RCNN+oursBackbone=ResNet50, FAA Head=Included, Scale=single scale2026.0276.5589.484.1554.6672.2378.4282.8987.8690.8986.2685.2463.9565.5875.370.4461.06
R3DetBackbone=ResNet-152, MS=true2024.0376.47———————————————
R3Det-GWDVenue=ICML’21, Backbone=ResNet50, Scale=single scale2026.0276.3488.8282.9455.6372.7578.5283.187.4690.2186.3685.4464.761.4173.4676.9457.38
ReDetVenue=CVPR’21, Backbone=ReResNet, Scale=single scale2026.0276.2588.7982.6453.977478.1384.0688.0490.8987.7885.7561.7660.3975.9668.0763.59
ReDiffDetVenue=CVPR’25, Backbone=ResNet50, Scale=single scale2026.0276.1885.4577.8450.3971.6380.984.8588.7790.888786.0863.363.4376.0176.0360.16
BITFITBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0276.05———————————————
Oriented RepPointsBackbone=ResNet-50, MS=false2024.0375.97———————————————
LORABackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0275.91———————————————
O-RCNNVenue=IJCV’24, Backbone=ResNet50, Scale=single scale2026.0275.8789.4682.1254.7870.8678.938388.290.987.584.6863.9767.6974.9468.8452.28
NORMTUNINGBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0275.82———————————————
PARTIAL-1Backbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0275.72———————————————
Gilding VertexBackbone=ResNet-50, MS=true2024.0375.02———————————————
ROI TransformerBackbone=ResNet-50, MS=true2024.0374.61———————————————
MutDetVenue=ECCV’24, Backbone=ResNet50, Scale=single scale2026.0274.587.378.751.368.578.981.688.190.779.983.75861.876.572.160.8
S2ANetVenue=TGRS’21, Backbone=ResNet50, Scale=single scale2026.0274.1289.1182.8448.3771.1178.1178.3987.2590.8384.985.6460.3662.665.2669.1357.94
FIXEDBackbone=Swin-B (89M), Detector Architecture=Oriented R-CNN (Faster R-CNN)2026.0274.1———————————————
RoI Trans.Venue=CVPR’19, Backbone=ResNet50, Scale=single scale2026.0274.0589.0177.4851.6472.0774.4377.5587.7690.8179.7185.2758.3664.1176.571.9954.06
R3DetVenue=AAAI’21, Backbone=ResNet50, Scale=single scale2026.0273.789.581.250.566.170.978.778.290.885.384.261.863.868.269.867.2
R. F-RCNNVenue=TPAMI’16, Backbone=ResNet50, Scale=single scale2026.0273.1789.481.8147.2867.4473.9673.1285.0390.985.1584.956.664.7764.770.2862.22
SCRDetBackbone=ResNet-101, MS=false2024.0372.61———————————————
ATSS-OBBBackbone=ResNet-50, MS=false2024.0372.29———————————————
BGHRVenue=AAAI’25, Scale=single scale2026.0271.4488.2175.6542.8360.1779.3974.9985.7690.8683.9485.3456.7765.960.1872.4549.11
Faster RCNN-OBBBackbone=ResNet-50, MS=false2024.0369.36———————————————