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📊 A curated list of dedicated resources to research 3D monocular object detection.

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awesome-monocular-3d-detectors

A curated list of dedicated resources to research 3D monocular object detection. Mostly resources is cloned from Review of Monocular 3D Object Detection by @patrick-llgc, Awesome Monocular 3D Detection by @BigTeacher-777 and Google Scholar's index.

Awesome contributions welcome GitHub contributors Hits

Update Notes

  • 04/18/2021: delete some columns from original repository and add some metrics from KITTI & nuScenes dataset.
Nama Time (Vanue) KITTI (Moderate) nuScenes (mAP) Predecessor Backbone Runtime Environtment
Kinematic3D 2007 12.72 --- --- --- 0.12 s 1 core @ 1.5 Ghz (C/C++)
SMOKE 2002 9.76 --- --- --- 0.03 s GPU @ 2.5 Ghz (Python)
M3D-RPN 1907 (ICCV 2019) 9.71 --- --- Faster RCNN 0.16 s GPU @ 1.5 Ghz (Python)
Center3D 2005 9.31 --- --- --- 0.05 s GPU @ 3.5 Ghz (Python)
SS3D 1906 7.68 --- --- U-Net like arch 48 ms Tesla V100 (Python)
D4LCN 1912 3.42 --- --- --- 0.2 s GPU @ 2.5 Ghz (Python + C/C++)
Deep3DBox 1612 (CVPR 2017) --- --- Deep3DBox MS-CNN --- ---
Mono3D 1512 (CVPR 2016) --- --- Mono3D Faster RCNN --- ---
CenterNet 1904 --- 0.338 CenterNet DLA (Unet) --- ---
MonoDIS 1905 (ICCV 2019) --- 0.304 MonoGRNet RetinaNet+2D/3D head --- ---

References

Awesome repository

Dataset

Conferences for Image Processing & Computer Vision: guide2research.com | openaccess.thecvf.com

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📊 A curated list of dedicated resources to research 3D monocular object detection.

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