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Object Detection on HRSC 2016 (test)

90.7mAP@0.07PKINet-S
72.364877.124981.88586.6451Mar 12, 2020Dec 30, 2020Oct 20, 2021Aug 10, 2022May 30, 2023Mar 19, 2024Jan 7, 2025

Evaluation results

MethodLinks
PKINet-S#Params=30.8M2024.0390.7—98.54—
LSKNet-SPre-trained=ImageNet, Number of Parameters (#P)=31.0M, FLOPs=161G2023.0390.65—98.46—
LSKNet#Params=31.0M2024.0390.65—98.46—
LSKNet-SPre-training=IN, Number of Parameters=31.0M, FLOPs=161G2025.0190.65—98.46—
PKINet-SPre-training=IN, Number of Parameters=30.8M, FLOPs=190G2025.0190.65—98.54—
RTMDetPre-trained=COCO, Number of Parameters (#P)=52.3M, FLOPs=205G2023.0390.6—97.1—
RTMDetPre-training=CO, Number of Parameters=52.3M, FLOPs=205G2025.0190.6—97.1—
Strip R-CNN-SPre-training=IN, Number of Parameters=30.5M, FLOPs=159G2025.0190.6—98.7—
O-RCNNPre-trained=ImageNet, Number of Parameters (#P)=41.1M, FLOPs=199G2023.0390.5—97.6—
O-RCNN#Params=41.1M2024.0390.5—97.6—
O-RCNNPre-training=IN, Number of Parameters=41.1M, FLOPs=199G2025.0190.5—97.6—
ReDetPre-trained=ImageNet, Number of Parameters (#P)=31.6M2023.0390.46—97.63—
ReDet#Params=31.6M2024.0390.46—97.63—
O-RepPoints#Params=36.6M2024.0390.38—97.26—
AOPGPre-trained=ImageNet2023.0390.34—96.22—
AOPG2024.0390.34—96.22—
AOPGPre-training=IN2025.0190.34—96.22—
S2A-NETBackbone=R-1012021.0190.17—95.01—
S2ANetPre-trained=ImageNet, Number of Parameters (#P)=38.6M, FLOPs=198G2023.0390.17—95.01—
S2ANet#Params=38.6M2024.0390.17—95.01—
R³DET-GWDBackbone=R-1012021.0189.85—97.37—
GWDPre-trained=ImageNet, Number of Parameters (#P)=47.4M, FLOPs=456G2023.0389.85—97.37—
GWD#Params=47.4M2024.0389.85—97.37—
GWDPre-training=IN, Number of Parameters=47.4M, FLOPs=456G2025.0189.85—97.37—
DALBackbone=R-1012021.0189.77———
DALPre-trained=ImageNet, Number of Parameters (#P)=36.4M, FLOPs=216G2023.0389.77———
DALPre-training=IN, Number of Parameters=36.4M, FLOPs=216G2025.0189.77———
CSLBackbone=ResNet1012020.0389.62—96.1—
FPN-CSLBackbone=R-1012021.0189.62—96.1—
GCLBackbone=ResNet1012020.0389.56—96.02—
R³Det-DCLBackbone=ResNet1012020.1189.46—96.41—
BCLBackbone=ResNet1012020.0389.46—96.41—
R³DET-DCLBackbone=R-1012021.0189.46—96.41—
R³DetBackbone=ResNet1012020.1189.26—96.01—
R3DetBackbone=ResNet1012020.0389.26—96.01—
R³DETBackbone=R-1012021.0189.26—96.01—
R3DetPre-trained=ImageNet, Number of Parameters (#P)=41.9M, FLOPs=336G2023.0389.26—96.01—
R3Det#Params=41.9M2024.0389.26—96.01—
RetinaNet-RBackbone=ResNet1012020.1189.18—95.21—
RetinaNet-RBackbone=ResNet1012020.0389.18—95.21—
BBAVectorsBackbone=ResNet1012020.1188.6———
BBAVectorsBackbone=ResNet1012020.0388.6———
BBAVECTORSBackbone=R-1012021.0188.6———
OPLDBackbone=R-1012021.0188.44———
Gliding VertexBackbone=ResNet1012020.1188.2———
Gliding VertexBackbone=ResNet1012020.0388.2———
GLIDING VERTEXBackbone=R-1012021.0188.2———
G. V.Pre-trained=ImageNet, Number of Parameters (#P)=41.1M, FLOPs=198G2023.0388.2———
Gliding Vertex#Params=41.1M2024.0388.2———
RSDETBackbone=R-502021.0186.5———
RoI-TransformerBackbone=ResNet1012020.1186.2———
RoI-TransformerBackbone=ResNet1012020.0386.2———
ROI-TRANS.Backbone=R-1012021.0186.2———
RoI Trans.Pre-trained=ImageNet, Number of Parameters (#P)=55.1M, FLOPs=200G2023.0386.2———
RoI Trans.#Params=55.1M2024.0386.2———
RRDBackbone=VGG162020.1184.3———
RRDBackbone=VGG162020.0384.3———
RRDBackbone=VGG162021.0184.3———
RetinaNet-HBackbone=ResNet1012020.1182.89—89.27—
RetinaNet-HBackbone=ResNet1012020.0382.89—89.27—
R2PNBackbone=VGG162020.1179.6———
R2PNBackbone=VGG162020.0379.6———
R2PNBackbone=VGG162021.0179.6———
TOSOBackbone=R-1012021.0179.29———
RRPNBackbone=ResNet1012020.1179.08—85.64—
RRPNBackbone=ResNet1012020.0379.08—85.64—
AXIS LEARNINGBackbone=R-1012021.0178.15———
RC1 & RC2Backbone=VGG162020.1175.7———
RC1 & RC2Backbone=VGG162020.0375.7———
RC1 & RC2Backbone=VGG162021.0175.7———
R2CNNBackbone=ResNet1012020.1173.07—79.73—
R2CNNBackbone=ResNet1012020.0373.07—79.73—
CenterMapEvaluation Protocol=VOC2012 metrics2021.03—92.8——
CenterMapPre-trained=ImageNet, Number of Parameters (#P)=41.1M, FLOPs=198G2023.03——92.8—
CenterMap#Params=41.1M2024.03——92.8—
CENTERMAPBackbone=R-502021.01——92.8—
CenterMap OBBBackbone=ResNet502020.11——92.8—
CenterMap OBBBackbone=ResNet502020.03——92.8—
CFC-NetArchitecture=Single-stage, Backbone=ResNet50, Size=416×416, NA=1, Augmentation=false, Multi-scale=false2021.01—86.3——
CFC-Net (aug + ms)Architecture=Single-stage, Backbone=ResNet101, Size=800×800, NA=1, Augmentation=true, Multi-scale=true2021.01—89.7——
CFC-Net (aug)Architecture=Single-stage, Backbone=ResNet50, Size=800×800, NA=1, Augmentation=true, Multi-scale=false2021.01—88.6——
CFC-Net (aug)Architecture=Single-stage, Backbone=ResNet101, Size=800×800, NA=1, Augmentation=true, Multi-scale=false2021.01—89.5——
CSLEvaluation Protocol=VOC2007 metrics2021.03—89.62——
DRNEvaluation Protocol=VOC2012 metrics2021.03—92.7——
DRNBackbone=Hourglass 1042020.11——92.7—
DRNBackbone=Hourglass1042020.03——92.7—
DRNBackbone=H-1042021.01——92.7—
DRNPre-trained=ImageNet2023.03——92.7—
DRN2024.03——92.7—
DRNPre-training=IN2025.01——92.7—
fully-supervisedSource=N/A, Target Train=rotated2023.04———90.3
Gliding vertexBackbone=Light-head R-CNN2019.11—87.4——
Gliding vertexBackbone=ResNet-101 + FPN2019.11—88.2——
Gliding VertexEvaluation Protocol=VOC2007 metrics2021.03—88.2——
Gliding VertexArchitecture=Two-stage, Backbone=ResNet101, Size=512×800, NA=52021.01—88.2——
GrabcutSource=N/A, Target Train=axis-aligned2023.04———24
Grabcut TrainSource=N/A, Target Train=axis-aligned2023.04———62.9
KCRSource=COCO [13], Target Train=axis-aligned2023.04———57.9
KCRSource=COCO Aug, Target Train=axis-aligned2023.04———78.3
KCRSource=DOTA [32], Target Train=axis-aligned2023.04———79.1