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Object Detection on AI-TOD (test)

64.9AP@0.5SFDNet*
19.97231.63643.354.964Oct 26, 2021Aug 6, 2022May 17, 2023Feb 25, 2024Dec 5, 2024Sep 15, 2025Jun 27, 2026

Evaluation results

MethodLinks
SFDNet*Method Category=Multi-Stage Detectors, Backbone=Spatial-Mamba2026.0664.931.725.6—32.836.142.517.6
SFDNetMethod Category=Multi-Stage Detectors, Backbone=ResNet-502026.0657.92923.5—2933.440.814.4
DINO-5scale w/SETMethod Category=End-to-End Detectors, Source=CVPR20252026.0657.126.620.8—27.131.5—13.2
DINO-5scale w/ TOLFArchitecture Style=Transformer-based, TOLF Integration=true2026.015724.417.2—24.431—11
DNTRVenue=-, Backbone=R502024.0656.726.220.212.826.43137—
DNTRMethod Category=Multi-Stage Detectors, Source=TGRS20242026.0656.726.220.2—26.4313712.8
DINO-5scaleArchitecture Style=Transformer-based2026.0156.623.215.4—23.129.3—9.9
DINO-Deformable-DETR*Venue=ICLR2023, Backbone=R502024.0656.623.215.49.923.129.337.6—
DINO-Deformable-DETRMethod Category=End-to-End Detectors, Source=ICLR20232026.0656.623.215.4—23.129.337.69.9
SimDMethod Category=Multi-Stage Detectors, Source=IROS20242026.0655.926.621.2—27.530.937.813.4
HS-FPNMethod Category=Multi-Stage Detectors, Source=AAAI20252026.0655.725.119.1—25.329.936.912.1
DetectoRS w/ RFLABackbone=ResNet-502022.0855.224.818.59.324.830.338.2—
RFLAVenue=ECCV2022, Backbone=R502024.0655.224.818.59.324.830.338.2—
RFLAMethod Category=Multi-Stage Detectors, Source=ECCV20222026.0655.224.818.5—24.830.338.29.3
SR-TOD2026.0154.62417.1—24.829.3—10.1
DetectorRS w/FIDPMethod Category=Multi-Stage Detectors, Source=CVPR20252026.0654.424.318.3—24.929.8—8.5
CFINetMethod Category=Multi-Stage Detectors, Source=ICCV2023, official implementation=true2026.0653.924.718.6—26.428.132.211.7
HANetVenue=CSVT2023, Backbone=R502024.0653.722.114.410.922.227.336.8—
NWD-RKAVenue=ISPRS2022, Backbone=R502024.0653.523.416.88.723.828.536—
RFLA w/ TOLFArchitecture Style=Multi-stage, TOLF Integration=true2026.0153.22317.6—23.727.9—10.1
Faster R-CNN w/ RFLABackbone=ResNet-502022.0851.621.113.19.521.226.131.5—
Cascade R-CNN w/ RFLABackbone=ResNet-502022.0851.622.115.68.22227.335.2—
RFLAArchitecture Style=Multi-stage2026.0150.521.715.3—21.824.5—8.3
DetectoRS w/ NWDBackbone=ResNet-502022.0849.320.814.36.419.729.638.3—
NWD2026.0149.320.814.3—19.729.6—6.4
DetectoRS*Backbone=ResNet-50, Criterion=Normalized Wasserstein Distance (NWD)2021.1049.320.814.3—19.729.638.36.4
NWDVenue=Arxiv2021, Backbone=R502024.0649.320.814.36.419.729.638.3—
FSANetVenue=TGRS2022, Backbone=R502024.0648.120.3146.31926.836.7—
Deformable-DETR*Venue=ICLR2021, Backbone=R502024.0645.9178.87.217.122.728.2—
CollabODParams=29.9, GFLOPs=65.5, FPS=1372026.0345.420——————
YOLOv12-M-P2Params=20.0, GFLOPs=94.4, FPS=1072026.0344.717.2——————
YOLO11-M-P2Params=20.7, GFLOPs=91.3, FPS=1012026.0344.519.5——————
Cascade R-CNN*Backbone=ResNet-50, Criterion=Normalized Wasserstein Distance (NWD)2021.1044.218.712.9—17.426.535.63.6
YOLOv8-M-P2Params=25.0, GFLOPs=99.0, FPS=922026.0344.119.3——————
YOLOv10-M-P2Params=23.2, GFLOPs=142.5, FPS=1272026.0343.918.7——————
Faster R-CNN*Backbone=ResNet-50, Criterion=Normalized Wasserstein Distance (NWD)2021.1043.817.811—1726.134.32.5
DAB-Deformable-DETR*Venue=ICLR2022, Backbone=R502024.0642.616.59.97.915.223.831.9—
DAB-Deformable-DETRMethod Category=End-to-End Detectors, Source=ICLR20222026.0642.616.59.9—15.223.831.97.9
M-CenterNetBackbone=DLA-342022.0840.714.56.46.11519.420.4—
M-CenterNetBackbone=DLA-342021.1040.714.56.4—1519.420.46.1
DotDBackbone=ResNet-502022.0839.216.110.68.317.618.122.1—
Centernet2026.0139.213.45—12.117.7—3.8
DotD2026.0139.216.110.6—17.618.1—8.3
CenterNetBackbone=DLA-342021.1039.213.45—12.117.718.93.8
DoTDVenue=CVPRW2021, Backbone=R502024.0639.216.110.68.317.618.122.1—
FCOS* w/ RFLABackbone=ResNet-50, FPN_levels=P2-P62022.0839.116.311.37.318.519.821.8—
Sparse R-CNNVenue=CVPR2021, Backbone=R502024.0638.516.711.88.817.518.119.2—
AutoAssign w/ RFLABackbone=ResNet-502022.0837.814.26.96.414.917.421.8—
FCOS* w/ TOLFArchitecture Style=One-stage, FPN features=P2~P6, TOLF Integration=true2026.0137.516.712.2—1821.9—6.8
FCOS*Backbone=ResNet-50, FPN_levels=P2-P62022.0836.315.410.9617.618.520.7—
FCOS*Architecture Style=One-stage, FPN features=P2~P62026.0135.815.110.2—16.618.8—5.9
CenterNetV2*Venue=Arxiv2021, Backbone=R502024.0635.714.18.52.912.719.729.5—
RS-MPODPrompt=visual-322026.0233.7———————
Cascade RPNBackbone=ResNet-502022.0833.513.37.83.912.918.126.3—
ATSS*Backbone=ResNet-50, Criterion=Normalized Wasserstein Distance (NWD)2021.1033.213.58.6—11.120.931.92.1
Cascade R-CNN w/ TOLFArchitecture Style=Multi-stage, TOLF Integration=true2026.0133.115.411.8—11.327.5—0.5
DetectoRSBackbone=ResNet-502022.0832.814.811.4010.828.338—
RS-MPODPrompt=multimodal2026.0232.8———————
DetectoRS2026.0132.814.811.5—10.818.3—0
DetectoRSBackbone=ResNet-502021.1032.814.811.4—10.828.3380
DetectoRSVenue=CVPR2021, Backbone=R502024.0632.814.811.4010.828.338—
DetectorRSMethod Category=Multi-Stage Detectors, Source=CVPR20212026.0632.814.811.4—10.828.3380
YOLOv8l*Venue=Arxiv2023, Backbone=R502024.0632.514.911.64.514.41929.3—
FCOS w/ TOLFArchitecture Style=One-stage, TOLF Integration=true2026.0132.113.29—13.519.4—3.2
AutoAssignBackbone=ResNet-502022.083212.26.83.413.71619.1—
LAE-DINOPrompt=text2026.0231.5———————
Cascade R-CNNBackbone=ResNet-502022.0830.813.810.5010.625.536.6—
Cascade R-CNNBackbone=ResNet-502021.1030.813.810.5—10.625.536.60
Cascade R-CNNVenue=CVPR2018, Backbone=R502024.0630.813.810.5010.525.536.6—
Cascade R-CNNMethod Category=Multi-Stage Detectors, Source=CVPR20182026.0630.813.810.5—10.525.536.60
ATSSBackbone=ResNet-502022.0830.612.88.51.911.619.529.2—
ATSSBackbone=ResNet-502021.1030.612.88.5—11.619.529.21.9
ATSSVenue=CVPR2021, Backbone=R502024.0630.612.88.51.911.619.529.2—
FCOSBackbone=ResNet-502022.0830.412.68.12.312.217.225—
Cascade R-CNNArchitecture Style=Multi-stage2026.0130.313.610.6—9.925.5—0
GroundingDINOPrompt=text2026.0230.1———————
QueryDet*Venue=CVPR2022, Backbone=R502024.0629.312.27.92.410.518.526.3—
QueryDetMethod Category=Multi-Stage Detectors, Source=CVPR20222026.0629.312.27.9—10.518.526.32.4
FCOSArchitecture Style=One-stage2026.0129128—11.917.1—2.5
Faster R-CNN w/ TOLFArchitecture Style=Multi-stage, TOLF Integration=true2026.0128.912.810.3—9.525.1—0.2
ATSS2026.0128.511.67.6—11.915.9—2.5
RS-MPODPrompt=text2026.0227.6———————
YOLOv8s*Venue=Arxiv2023, Backbone=R502024.0627.411.67.73.411.114.922.8—
PAABackbone=ResNet-502022.0826.5106.73.510.513.122.1—
PAA2026.0126.5106.7—10.513.1—3.5
Faster R-CNNBackbone=ResNet-502022.0826.311.17.607.223.333.6—
Faster R-CNNArchitecture Style=Multi-stage2026.0126.311.18.1—7.223.3—0
Faster R-CNNBackbone=ResNet-502021.1026.311.17.6—7.223.333.60
Faster R-CNNVenue=TPAMI2017, Backbone=R502024.0626.311.17.607.223.333.6—
Faster R-CNNMethod Category=Multi-Stage Detectors, Source=PAMI20172026.0626.311.17.6—7.223.333.60
RetinaNet*Backbone=ResNet-50, Criterion=Normalized Wasserstein Distance (NWD)2021.1024.99.25—1013.116.93.2
OTABackbone=ResNet-502022.0824.310.47.22.511.915.720.9—
Double Head R-CNN*Venue=CVPR2020, Backbone=R502024.0624.310.16.7072030.2—
FCOSBackbone=ResNet-502021.1024.19.85.9—815.117.41.4
RepPointsBackbone=ResNet-502022.0823.69.25.32.59.212.914.4—
PepPonitsBackbone=ResNet-502021.1023.69.25.3—9.212.914.42.5
RetinaNet w/ RFLABackbone=ResNet-502022.0823.19.15.24.110.510.512.3—
RetinaNetBackbone=ResNet-502022.0822.38.74.82.48.912.216—
SSD-512Backbone=ResNet-502022.0821.772.814.711.513.5—
SSD-512Backbone=ResNet-502021.1021.772.8—4.711.513.51