List your company

Monocular 3D Object Detection on KITTI (test)

19.2AP3D R40 (Mod.)Mono3DV
4.55688.358412.1615.9616Mar 26, 2024Jul 26, 2024Nov 26, 2024Mar 29, 2025Jul 30, 2025Nov 30, 2025Apr 2, 2026

Evaluation results

MethodLinks
Mono3DVRuntime (ms)=38, GFlops=62.122026.0119.2—————
Mono3DVExtra data=None2026.0119.228.2616.2135.7724.8221.37
MonoDGPRuntime (ms)=45, GFlops=71.762026.0118.72—————
MonoDGPExtra data=None2026.0118.7226.3515.9735.2425.2322.02
MonoPGCExtra data=Depth2026.0117.1724.6814.1432.523.1420.3
MonoDDEExtra data=None2026.0117.1424.9315.133.5823.4620.37
FD3DExtra data=None2026.0117.1225.3814.534.223.7220.76
OPA-3DExtra data=Depth2026.0117.0524.614.2533.5422.5319.22
OccupancyM3DExtra data=LiDAR2026.0117.0225.5514.7935.3824.1821.37
MonoUNIExtra data=None2026.0116.7324.7513.49———
DPL_FLEXExtra Data=Unlabeled2024.0316.6724.1913.8333.1622.1218.74
MonoCDExtra data=None2026.0116.5925.5314.5333.4122.8119.57
MonoDETRRuntime (ms)=38, GFlops=62.122026.0116.47—————
MonoDETRExtra data=None2026.0116.472513.5833.622.1118.6
MonoConExtra data=None2026.0116.4622.513.9531.1222.119
DID-M3DExtra data=LiDAR2026.0116.2924.413.7532.9522.7619.83
MonoDTRExtra Data=LiDAR2024.0315.3921.9912.7328.5920.3817.14
MonoDTRRuntime (ms)=37, GFlops=120.482026.0115.39—————
MonoDTRExtra data=LiDAR2026.0115.3921.9912.7328.5920.3817.14
HomoLossExtra Data=None2024.0314.9421.7513.0729.620.6817.81
MVC-MonoDetExtra Data=Unlabeled2024.0314.5622.1312.0931.6220.1117.21
DEVIANTExtra data=None2026.0114.4621.8811.8929.6520.4417.43
Mix-TeachingExtra Data=Unlabeled2024.0314.3421.8811.8630.5219.5116.45
GUPNetExtra Data=None2024.0314.220.1111.77———
AutoShapeExtra Data=CAD2024.0314.1722.4711.3630.6620.0815.59
Zhang et al. DLEExtra Data=None2024.0314.1420.2512.4228.8517.7217.81
CaDDNExtra Data=LiDAR2024.0313.4119.1711.4627.9418.9117.19
DDMP-3DExtra Data=Depth2024.0312.7819.719.828.0817.8913.44
Kinematic3DExtra Data=Multi-frames2024.0312.7219.079.1726.6917.5213.1
MonoRCNNExtra Data=None2024.0312.6518.3610.0325.4818.1114.1
MonoFlexExtra Data=None, Note=Reproduction result denoted by †2024.0312.5719.2310.7326.8317.9415.16
MonoRUnExtra Data=LiDAR2024.0312.319.6510.5827.9417.3415.24
PGDExtra Data=None2024.0311.7619.059.3926.8916.5113.49
D4LCNExtra Data=Depth2024.0311.7216.659.5122.5116.0212.55
Proposed MethodAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.0411.3617.478.83———
PatchNetExtra Data=Depth2024.0311.1215.6810.1722.9716.8614.97
RTM3DExtra Data=None2024.0310.0913.618.18———
MonoPairExtra Data=None2024.039.9913.048.6519.2814.8312.89
SMOKEExtra Data=None2024.039.7614.037.8420.8314.4912.75
SparseDetAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.047.4210.766.16———
Co-studentAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.046.979.965.33———
Co-miningAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.046.419.935.25———
Calibrated TeacherAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.046.099.265.02———
BaselineAnnotation ratio=30%, Backbone=ResNet-50, IoU threshold=0.72026.045.127.123.9———