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Oriented Object Detection on HRSC 2016 (test)

93.7mAPSBD
54.1864.4474.784.96Jun 6, 2019Nov 6, 2019Apr 8, 2020Sep 8, 2020Feb 9, 2021Jul 12, 2021Dec 13, 2021

Evaluation results

MethodLinks
SBDEvaluation Level=Level 32019.0693.7——————
DEA-Net (RoI Trans + DEA)Backbone=ResNet-1012021.1290.56——————
Baseline+DALBackbone=ResNet101, Input size=800x800, Number of preset anchors (NA)=3, Detector stage=Single-stage2020.1289.77——————
RetinaNet-DALBackbone=ResNet-1012021.1289.77——————
RIDet-O2021.0389.63——————
RIDet-OBackbone=ResNet101, Size=800×800, Stage=Single-stage2021.0389.63——————
RIDet-OBackbone=ResNet50, Size=416×416, Stage=Single-stage2021.0389.47——————
DCL2021.0389.46——————
DCLBackbone=ResNet101, Size=800×800, Stage=Two-stage2021.0389.46——————
R3Det-DCLBackbone=ResNet-1012021.1289.46——————
R3DetBackbone=ResNet101, Input size=800x800, Number of preset anchors (NA)=21, Detector stage=Single-stage2020.1289.26——————
R3DetBackbone=ResNet101, Size=800×800, Stage=Single-stage2021.0389.26——————
R3DetBackbone=ResNet-1012021.1289.26——————
RIDet-OBackbone=ResNet18, Size=416×416, Stage=Single-stage2021.0389.25——————
R-RetinaNetBackbone=ResNet101, Input size=800x800, Number of preset anchors (NA)=121, Detector stage=Single-stage2020.1289.18——————
R-RetinaNetBackbone=ResNet-1012021.1289.18——————
RIDet-QBackbone=ResNet101, Size=800×800, Stage=Single-stage2021.0389.1——————
Baseline+DALBackbone=ResNet101, Input size=416x416, Number of preset anchors (NA)=3, Detector stage=Single-stage2020.1288.95——————
BBAVectors+rhBackbone=ResNet101, Image Size=608 x 608, GPU=TITAN X2020.0888.611.69—————
Baseline+DALBackbone=ResNet50, Input size=416x416, Number of preset anchors (NA)=3, Detector stage=Single-stage2020.1288.6——————
BBAVectorBackbone=ResNet101, Size=608×608, Stage=Single-stage2021.0388.6——————
OPLDBackbone=ResNet50, Size=1024×1333, Stage=Two-stage2021.0388.44——————
BBAVectors+rBackbone=ResNet101, Image Size=608 x 608, GPU=TITAN X2020.0888.212.88—————
Gliding VertexBackbone=ResNet101, Input size=512x800, Number of preset anchors (NA)=5, Detector stage=Two-stage2020.1288.2——————
Gliding VertexBackbone=ResNet101, Size=512×800, Stage=Two-stage2021.0388.2——————
Gliding VertexBackbone=ResNet-1012021.1288.2——————
RSDetBackbone=ResNet50, Size=800×800, Stage=Single-stage2021.0386.5——————
ROI Trans.Backbone=ResNet101, Image Size=512 x 800, GPU=TITAN X2020.0886.25.9—————
RoI Trans.Backbone=ResNet101, Input size=512x800, Number of preset anchors (NA)=5, Detector stage=Two-stage2020.1286.2——————
RoI Trans.Backbone=ResNet101, Size=512×800, Stage=Two-stage2021.0386.2——————
RoI TransBackbone=ResNet-1012021.1286.2——————
RRDEvaluation Level=Level 32019.0684.3——————
RRDBackbone=VGG16, Image Size=384 x 3842020.0884.3——————
RRDBackbone=VGG16, Input size=384x384, Number of preset anchors (NA)=13, Detector stage=Single-stage2020.1284.3——————
RRDBackbone=VGG16, Size=384×384, Stage=Single-stage2021.0384.3——————
RRDBackbone=VGG-162021.1284.3——————
MR Loss2021.0383.6——————
IoU-Smooth2021.0382.59——————
BaselineBackbone=ResNet50, Input size=416x416, Number of preset anchors (NA)=3, Detector stage=Single-stage2020.1280.81——————
RetinaNetBackbone=ResNet50, Size=416×416, Stage=Single-stage2021.0380.81——————
R2PNBackbone=VGG162020.0879.6——————
R2PNBackbone=VGG16, Number of preset anchors (NA)=24, Detector stage=Two-stage2020.1279.6——————
R2PNBackbone=VGG16, Stage=Two-stage2021.0379.6——————
R2PNBackbone=VGG-162021.1279.6——————
RRPNBackbone=ResNet101, Input size=800x800, Number of preset anchors (NA)=54, Detector stage=Two-stage2020.1279.08——————
RRPNBackbone=ResNet101, Size=800×800, Stage=Two-stage2021.0379.08——————
RRPNBackbone=ResNet-1012021.1279.08——————
Fast R-CNNEvaluation Level=Level 32019.0675.7——————
RC1&RC2Backbone=VGG16, Detector stage=Two-stage2020.1275.7——————
RCI&RC2Backbone=VGG-162021.1275.7——————
R2CNNBackbone=ResNet101, Input size=800x800, Number of preset anchors (NA)=21, Detector stage=Two-stage2020.1273.07——————
R2CNNBackbone=ResNet101, Size=800×800, Stage=Two-stage2021.0373.07——————
R2CNNBackbone=ResNet-1012021.1273.07——————
Fast R-CNNEvaluation Level=Level 22019.0669.6——————
Fast R-CNNEvaluation Level=Level 12019.0655.7——————
AO2-DETRBackbone=R502024.07——88.12————
AOPGBackbone=R1012024.07——90.3496.22———
AOPGBackbone=R-502024.07——90.3496.22———
ARCBackbone=ARC-R502024.07——90.41————
CenterMap-NetBackbone=R-50-FPN2021.05———92.8———
CenterMap-NetBackbone=R-50-FPN2021.08——————92.8
CenterNet-OBackbone=DLA-342021.05——87.89————
DALBackbone=R-101-FPN2021.05——89.77————
DALBackbone=R-101-FPN2021.08—————89.77—
DODetBackbone=R-1012024.07——90.8997.14———
DRNBackbone=H-1042021.05———92.7———
DRNBackbone=H-342021.08——————92.7
FCOSSupervision Level=RBox-supervised2023.11————88.99——
FPN-CSLBackbone=R-101-FPN2021.05——89.6296.1———
FR-OBackbone=R-502024.07——87.289.51———
Gliding VertexBackbone=R-101-FPN2021.05——88.2————
Gliding VertexBackbone=R-101-FPN2021.08—————88.2—
GWDSupervision Level=RBox-supervised2023.11————86.67——
GWDBackbone=R1012024.07——89.8597.37———
H2RBoxSupervision Level=HBox-to-RBox2023.11————7.03——
H2RBox-v2Supervision Level=HBox-to-RBox2023.11————89.66——
KCRSupervision Level=HBox-to-RBox2023.11————79.1——
MFIAR-NetBackbone=R-101-FPN2021.05——89.81————
Oriented R-CNNBackbone=R-50-FPN2021.05——90.496.5———
Oriented R-CNNBackbone=R-502024.07——90.496.5———
Oriented R-CNNBackbone=LSKNet-S2024.07——90.6598.46———
Oriented R-CNNBackbone=PKINet-S2024.07——90.798.54———
Oriented R-CNNBackbone=R-50-FPN2021.08—————90.496.5
Oriented R-CNNBackbone=R-101-FPN2021.08—————90.597.6
Oriented ReppointsBackbone=R502024.07——90.3897.26———
Oriented RepPointsBackbone=R-50-FPN2021.05——90.3897.26———
Oriented-DETRBackbone=R502024.07——90.5297.73———
Oriented-DETRBackbone=Swin-T2024.07——90.5698.02———
Oriented-RCNNBackbone=R1012024.07——90.597.6———
OSKDetBackbone=R1012024.07——89.98————
Our method (two-stage approach)Backbone=R-502024.07——90.798.02———
Our method (two-stage approach)Backbone=ConvNeXt-T2024.07——90.8998.77———
P2BNet+H2RBox-v2Supervision Level=Point-to-RBox2023.11————14.6——
PIOUBackbone=DLA-342021.05——89.2————
PIOUBackbone=DLA-342021.08—————89.2—
Point2Mask-RBoxSupervision Level=Point-to-RBox2023.11————29.95——
Point2RBox-RCSupervision Level=Point-to-RBox, Pattern Setting=RC (rectangles and circles), Anchor Configuration=A1 (single anchor size: 128)2023.11————78.77——
Point2RBox-SKSupervision Level=Point-to-RBox, Pattern Setting=SK (one sketch pattern per category), Anchor Configuration=A1 (single anchor size: 128)2023.11————79.4——
Point2RBox-SKSupervision Level=Point-to-RBox, Pattern Setting=SK (one sketch pattern per category), Anchor Configuration=A1 (single anchor size: 128), Backbone=CSPNeXt2023.11————80.01——
PSCBackbone=DarkNet532024.07——90.06————