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Object Detection on DOTA 1.0 (test)

90.39Plane APHSP
89.422889.673989.92590.1761Jun 22, 2019Jun 5, 2020May 20, 2021May 5, 2022Apr 19, 2023Apr 2, 2024Mar 18, 2025

Evaluation results

MethodLinks
HSPBackbone=ResNet-101, Multi-scale=true2021.0190.3986.2356.1280.5977.5273.2683.7890.887.1985.6769.0872.0276.9872.567.96——78.01——————
Ours (RBox)Backbone=R-50, MS=false, Stage=Single-stage2022.0390.3685.3156.3976.4574.5583.4687.7890.8685.8585.2864.5267.8277.7274.3267.8——77.9——————
Oriented R-CNNBackbone=R-101, MS=true, Stage=Two-stage2022.0390.2684.7462.0180.4279.0485.0788.5290.8587.2487.9672.2670.0382.9378.4668.05——80.52——————
CSLYear=2020, Backbone=ResNet152, Anchor=AB2021.0990.2585.5354.6475.3170.4473.5177.6290.8486.1586.6969.668.0473.8371.168.9376.17————————
FPN-CSLBackbone=R-152, MS=true, Stage=Two-stage2022.0390.2585.5354.6475.3170.4473.5177.6290.8486.1586.6969.668.0473.8371.168.93——76.17——————
CSLBackbone=ResNet-152, Multi-scale=true2021.0190.2585.5354.6475.3170.4473.5177.6290.8486.1586.6969.668.0473.8371.168.93——76.17——————
CSLBackbone=R152, multi-scale=false2022.1190.2585.5354.6475.3170.4473.5177.6290.8486.1586.6969.668.0473.8371.168.9376.17————————
CSLPre-trained=ImageNet, Number of Parameters=37.4M, FLOPs=236G, Scale=Multi-Scale2025.0190.2585.5354.6475.3170.4473.5177.6290.8486.1586.6969.668.0473.8371.168.9376.17————————
FADetBackbone=ResNet1012020.0390.2179.5845.4976.4173.1868.2779.5690.8383.484.6853.465.4274.1769.6964.8673.28————————
FADETBackbone=ResNet-101, Multi-scale=true2021.0190.2179.5845.4976.4173.1868.2779.5690.8383.484.6853.465.4274.1769.6964.86——73.28——————
RSDetBackbone=ResNet1522020.0390.18253.868.570.278.773.691.287.184.764.368.266.169.363.774.1————————
FFABackbone=ResNet1012020.0390.182.754.275.27179.983.590.783.984.661.26870.77663.775.7————————
FFABackbone=ResNet-101, Multi-scale=true2021.0190.182.754.275.27179.983.590.783.984.661.26870.77663.7——75.7——————
SCRDET++Backbone=ResNet-101, Multi-scale=true2021.0190.0584.3955.4473.9977.5471.1186.0590.6787.3287.0869.6268.973.7471.2965.08——76.81——————
Ours*FPN=true, Backbone=Light-head R-CNN [43]2019.1190.0284.4149.877.9372.2372.5285.8190.8579.2186.6159.0169.1566.371.2255.6774.057.1———————
ROPDETBackbone=ResNet-101-DCN, Multi-scale=true2021.0190.0182.8254.4769.6569.2370.7875.7890.8486.1384.7666.5263.7167.1368.3846.09——72.42——————
AOODBackbone=DPN2020.0389.9981.2544.573.268.960.3366.8690.8980.9986.2364.9863.8865.2468.3662.1371.18————————
AOODBackbone=DPN-92, Multi-scale=true2021.0189.9981.2544.573.268.960.3366.8690.8980.9986.2364.9863.8865.2468.3662.13——71.18——————
SCRDetYear=2019, Backbone=ResNet101, Anchor=AB, Speed (fps)=9.512021.0989.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.2172.61————————
SCRDetBackbone=ResNet1012020.0389.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.2172.61————————
SCRDetBackbone=R-101, MS=true, Stage=Two-stage2022.0389.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.21——72.61——————
SCRDETBackbone=ResNet-101, Multi-scale=true2021.0189.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.21——72.61——————
SCRDetBackbone=ResNet-50, #Params=41.9M, Protocol=single-scale2024.0389.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.2172.61————————
SCRDetPre-trained=ImageNet, Number of Parameters=41.9M, Scale=Single-Scale2025.0189.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.2172.61————————
SCRDetBackbone=ResNet-50, #P=41.9M, Stage=Two-stage2025.0389.9880.6552.0968.3668.3660.3272.4190.8587.9486.8665.0266.6866.2568.2465.2172.61————————
OursTraining set=trainset + validation set, Scale=single-scale2019.0689.9683.6253.4276.0374.0177.1679.4590.8387.1584.5167.7260.3374.6171.8465.5575.75————————
APEBackbone=ResNeXt-1012020.0389.9683.6253.4276.0374.0177.1679.4590.8387.1584.5167.7260.3374.6171.8465.5575.75————————
APEBackbone=ResNeXt-101, Multi-scale=true2021.0189.9683.6253.4276.0374.0177.1679.4590.8387.1584.5167.7260.3374.6171.8465.55——75.75——————
Ours*FPN=false, Backbone=Light-head R-CNN [43]2019.1189.9586.3745.7973.4471.4468.275.9690.7279.6385.0358.5670.1968.2871.3454.4572.498.4———————
Ours-rFPN=false, Backbone=Faster R-CNN, obliquity factor r=not used2019.1189.9385.7845.973.6670.0769.176.7890.6279.0883.9457.7567.5767.5370.8556.4672.339.8———————
SARDBackbone=ResNet1012020.0389.9384.1154.1972.0468.4161.186690.8287.7986.5965.6564.0466.6868.8468.0372.95————————
RSDet-IIBackbone=R-152, MS=true, Stage=Two-stage2022.0389.9384.4553.7774.3571.5278.3178.1291.1487.3586.9365.6465.1775.3579.7463.31——76.34——————
SARDBackbone=ResNet-101, Multi-scale=true2021.0189.9384.1154.1972.0468.4161.186690.8287.7986.5965.6564.0466.6868.8468.03——72.95——————
RSDET-IIBackbone=ResNet-152, Multi-scale=true2021.0189.9384.4553.7774.3571.5278.3178.1291.1487.3586.9365.6465.1775.3579.7463.31——76.34——————
R3Det-KLDBackbone=R-152, MS=true, Stage=Refine-stage2022.0389.9285.1359.1981.3378.8284.3887.589.887.338772.5771.3577.1279.3478.68——80.63——————
KLDBackbone=R152, multi-scale=true2022.1189.9285.1359.1981.3378.8284.3887.589.887.338772.5771.3577.1279.3478.6880.63————————
Cascade-FFBackbone=ResNet1522020.0389.980.451.777.468.275.275.690.878.884.462.364.657.769.450.171.8————————
R3Det-KLDBackbone=R-50, MS=true, Stage=Refine-stage2022.0389.984.9159.2178.7478.8283.9587.4189.8986.6386.6970.4770.8776.9679.478.62——80.17——————
CASCADE-FFBackbone=ResNet-152, Multi-scale=true2021.0189.980.451.777.468.275.275.690.878.884.462.364.657.769.450.1——71.8——————
OursFPN=false, Backbone=Faster R-CNN2019.1189.8985.9946.0978.4870.3269.4476.9390.7179.3683.857.7968.3572.971.0359.7873.399.8———————
LEGNet-SBackbone=LEGNet-S, #P=29.8M, Stage=Two-stage2025.0389.8786.3256.3678.6781.3485.2988.5390.8987.3186.4670.3868.4878.348270.2580.03————————
Oriented R-CNNBackbone=R-50, MS=true, Stage=Two-stage2022.0389.8485.4361.0979.8279.7185.3588.8290.8886.6887.7372.2170.882.4278.1874.11——80.87——————
Oriented R-CNNBackbone=R50, multi-scale=false2022.1189.8485.4361.0979.8279.7185.3588.8290.8886.6887.7372.2170.882.4278.1874.1180.87————————
CenterMap OBBBackbone=ResNet1012020.0389.8384.4154.670.2577.6678.3287.1990.6684.8985.2756.4669.2374.1371.5666.0676.03————————
CenterMap OBBBackbone=R-101, MS=true, Stage=Two-stage2022.0389.8384.4154.670.2577.6678.3287.1990.6684.8985.2756.4669.2374.1371.5666.06——76.03——————
CENTERMAPBackbone=ResNet-101, Multi-scale=true2021.0189.8384.4154.670.2577.6678.3287.1990.6684.8985.2756.4669.2374.1371.5666.06——76.03——————
Ours (RBox)Backbone=R-50, MS=true, Stage=Single-stage2022.0389.8185.1961.3576.1879.2984.8188.2690.8687.5587.4266.8970.178.479.2868.48——79.59——————
RSDetYear=2019, Backbone=ResNet101, Anchor=AB2021.0989.882.948.665.269.570.170.290.585.683.462.563.965.667.26872.2————————
R³DetYear=2019, Backbone=ResNet152, Anchor=AB, Speed (fps)=10.532021.0989.883.7748.1166.7778.7683.2787.8490.8285.3885.5165.6762.6867.5378.5672.6276.47————————
R3DETBackbone=ResNet-152, Multi-scale=true2021.0189.883.7748.1166.7778.7683.2787.8490.8285.3885.5165.6762.6867.5378.5672.62——76.47——————
R³DetBackbone=R152, multi-scale=false2022.1189.883.7748.1166.7778.7683.2787.8490.8285.3885.5165.5762.6867.5378.5672.6276.47————————
R3DetPre-trained=ImageNet, Number of Parameters=41.9M, FLOPs=336G, Scale=Multi-Scale2025.0189.883.7748.1166.7778.7683.2787.8490.8285.3885.5165.5762.6867.5378.5672.6276.47————————
FR-ESTBackbone=ResNet-101-DCN, Multi-scale=true2021.0189.7885.2155.477.780.2683.7887.5990.8187.6686.9365.668.7471.6479.9966.2——78.49——————
GGHLYear=2021, Backbone=DarkNet53, Anchor=AF, Speed (fps)=42.32021.0989.7485.6344.577.4876.7280.4586.1690.8388.1886.2567.0769.473.3868.4570.1476.95————————
Oriented R-CNNBackbone=PKINet-S, #Params=30.8M, Protocol=single-scale2024.0389.7284.255.8177.6380.2584.4588.1290.8887.5786.0766.8670.2377.4773.6262.9478.39————————
PKINet-SPre-trained=ImageNet, Number of Parameters=30.8M, FLOPs=190G, Scale=Single-Scale2025.0189.7284.255.8177.6380.2584.4588.1290.8887.5786.0766.8670.2377.4773.6262.9478.39————————
O-RCNNBackbone=PKINet-S, #P=30.8M, Stage=Two-stage2025.0389.7284.255.8177.6380.2584.4588.1290.8887.5786.0766.8670.2377.4773.6262.9478.39————————
DRNYear=2020, Backbone=Hourglass-104, Anchor=AF2021.0989.7182.3447.2264.176.2274.4385.8490.5786.1884.8957.6561.9369.369.6358.4873.23————————
DRNBackbone=Hourglass1042020.0389.7182.3447.2264.176.2274.4385.8490.5786.1884.8957.6561.9369.369.6358.4873.23————————
DRNBackbone=Hourglass-104, Multi-scale=true2021.0189.7182.3447.2264.176.2274.4385.8490.5786.1884.8957.6561.9369.369.6358.48——73.23——————
S2A-NET-DALBackbone=ResNet-50, Multi-scale=true2021.0189.6983.1155.037178.381.988.4690.8984.9787.4664.4165.6576.8672.0964.35——76.95——————
OursTraining set=trainset only, Scale=single-scale2019.0689.6776.7751.2871.6573.1177.1879.5490.7979.0184.5466.5164.7173.9767.7358.473.66————————
SARBackbone=ResNet-152, Multi-scale=true2021.0189.6779.7854.1768.2971.777.984.6390.9188.2287.0760.4966.9575.1375.2864.29——75.28——————
S2ANetBackbone=PKINet-S, #Params=24.8M, Protocol=single-scale2024.0389.6784.1651.9471.8980.8183.4788.2990.887.0186.9465.0269.5375.8380.261.8577.83————————
S2ANetBackbone=PKINet-S, #P=24.8M, Stage=One-stage2025.0389.6784.1651.9471.8980.8183.4788.2990.887.0186.9465.0269.5375.8380.261.8577.83————————
R2CNN++FPN=true2019.1189.6681.2245.575.168.2760.1766.8390.980.6986.1564.0563.4865.3468.0162.0571.16————————
LO-Det-GGHLYear=2021, Backbone=MobileNetv2, Anchor=AF, Speed (fps)=62.072021.0989.6683.0238.5577.0972.5771.8682.4790.7878.0583.5647.7467.8364.2167.8354.1671.26————————
R3Det-GWDBackbone=R-152, MS=true, Stage=Refine-stage2022.0389.6684.9959.2682.1978.9784.8387.790.2186.5486.8573.0467.5676.9279.2274.92——80.19——————
GWDBackbone=ResNet-152, Multi-scale=true2021.0189.6684.9959.2682.1978.9784.8387.790.2186.5486.8573.4767.7776.9279.2274.92——80.23——————
GWDBackbone=R152, multi-scale=true2022.1189.6684.9959.2682.1978.9784.8387.790.2186.5486.8573.4767.7776.9279.2274.9280.23————————
Oriented R-CNNBackbone=LSKNet-S, #Params=31.0M, Protocol=single-scale2024.0389.6685.5257.7275.774.9578.6988.2490.8886.7986.3866.9263.7777.7774.4764.8277.49————————
LSKNet-SPre-trained=ImageNet, Number of Parameters=31.0M, FLOPs=161G, Scale=Single-Scale2025.0189.6685.5257.7275.774.9578.6988.2490.8886.7986.3866.9263.7777.7774.4764.8277.49————————
R3Det-GWDPre-trained=ImageNet, Number of Parameters=41.9M, FLOPs=336G, Scale=Multi-Scale2025.0189.6684.9959.2682.1978.9784.8387.790.2186.5486.8573.4767.7776.9279.2274.9280.23————————
O-RCNNBackbone=LSKNet-S, #P=31.0M, Stage=Two-stage2025.0389.6685.5257.7275.774.9578.6988.2490.8886.7986.3866.9263.7777.7774.4764.8277.49————————
PolarDetBackbone=R-101, MS=true, Stage=Single-stage2022.0389.6587.0748.1470.9778.5380.3487.4590.7685.6386.8761.6470.3271.9273.0967.15——76.64——————
POLARDETBackbone=ResNet-101, Multi-scale=true2021.0189.6587.0748.1470.9778.5380.3487.4590.7685.6386.8761.6470.3271.9273.0967.15——76.64——————
OursFPN=true2019.1189.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.0210———————
Gliding VertexYear=2019, Backbone=ResNet101, Anchor=AB, Speed (fps)=13.12021.0989.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
Gliding VertexBackbone=ResNet1012020.0389.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
Gliding VertexBackbone=R-101, MS=false, Stage=Two-stage2022.0389.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.32——75.02——————
GLIDING VERTEXBackbone=ResNet-101, Multi-scale=true2021.0189.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.32——75.02——————
G.V.Backbone=ResNet-50, #Params=41.1M, Protocol=single-scale2024.0389.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
G.V.Pre-trained=ImageNet, Number of Parameters=41.1M, FLOPs=198G, Scale=Single-Scale2025.0189.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
G.V.Pre-trained=ImageNet, Number of Parameters=41.1M, FLOPs=198G, Scale=Multi-Scale2025.0189.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
G.V.Backbone=ResNet-50, #P=41.1M, Stage=Two-stage2025.0389.648552.2677.3473.0173.1486.8290.7479.0286.8159.5570.9172.9470.8657.3275.02————————
R3DetBackbone=PKINet-S, #Params=28.1M, Protocol=single-scale2024.0389.6382.449.7771.7279.9581.3987.7990.984.286.0961.0866.5573.0673.8559.9575.89————————
MFIAR-NetBackbone=ResNet1522020.0389.6284.0352.4170.370.1367.6477.8190.8585.486.2263.2164.1468.3170.2162.1173.49————————
MFIAR-NETBackbone=ResNet-152, Multi-scale=true2021.0189.6284.0352.4170.370.1367.6477.8190.8585.486.2263.2164.1468.3170.2162.11——73.49——————
A2S-DETBackbone=ResNet-101, Multi-scale=true2021.0189.5977.8946.3756.4775.8674.8386.0790.5881.0983.7150.2160.9465.2969.7750.93——70.64——————
LSKNet-SPre-trained=ImageNet, Number of Parameters=31.0M, FLOPs=161G, Scale=Multi-Scale2025.0189.5786.3463.1383.6782.286.188.6690.8988.4187.4271.7269.5878.8881.7776.5281.64————————
Mask OBBBackbone=ResNeXt-1012020.0389.5685.9554.2172.976.5274.1685.6389.8583.8186.4854.8969.6473.9469.0663.3275.33————————
MASK OBBBackbone=ResNeXt-101, Multi-scale=true2021.0189.5685.9554.2172.976.5274.1685.6389.8583.8186.4854.8969.6473.9469.0663.32——75.33——————
FCOSR-lBackbone=X101, multi-scale=false2022.1189.584.4252.5871.8180.4977.7288.2390.8484.2386.4861.2167.7776.3474.3974.8677.39————————
R3DetPre-trained=ImageNet, Number of Parameters=41.9M, FLOPs=336G, Scale=Single-Scale2025.0189.581.250.566.170.978.778.290.885.384.261.863.868.269.867.273.7————————
R3DetBackbone=ResNet1522020.0389.4981.1750.5366.170.9278.6678.2190.8185.2684.2361.8163.7768.1669.8367.1773.74————————
MRDETBackbone=ResNet-101, Multi-scale=true2021.0189.4984.2955.466.6876.2782.1387.8690.8186.928552.3465.9876.2276.7867.49——76.24——————
PP-YOLOE-R-xBackbone=CRN-x, multi-scale=false2022.1189.4979.755.0475.5982.485.288.3590.7685.6987.763.1769.5277.0975.0869.3878.28————————
R3DetBackbone=ARC-R50, #Params=65.2M, Protocol=single-scale2024.0389.4978.0446.3668.8977.4572.8782.7690.983.0784.8958.7268.6164.7568.3949.6772.32————————
Rotated Faster R-CNNBackbone=ARC-R50, #Params=74.4M, Protocol=single-scale2024.0389.4982.1151.0270.3879.0775.0686.1890.9184.2386.4156.169.4265.8771.963.4774.77————————
Oriented R-CNNBackbone=R-50, MS=false, Stage=Two-stage2022.0389.4682.1254.7870.8678.938388.290.987.584.6863.9767.6974.9468.8452.28——75.87——————