Awesome Monocular 3D detection

Paper list of 3D detetction, keep updating!

Contents

• Paper List
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
• KITTI Results

Paper List

2022

• [MonoDistill] MonoDistill: Learning Spatial Features for Monocular 3D Object Detection [ICLR2022][Pytorch]
• [MonoCon] Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection [AAAI2022][Pytorch]
• [ImVoxelNet] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection [WACV2022][Pytorch]

2021

• [PCT] Progressive Coordinate Transforms for Monocular 3D Object Detection [NeurIPS2021][Pytorch]
• [DFR-Net] The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection [ICCV2021]
• [AutoShape] AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection [ICCV2021][Pytorch][Paddle]
• [pseudo-analysis] Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? [ICCV2021]
• [Gated3D] Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues [ICCV2021]
• [MonoRCNN] Geometry-based Distance Decomposition for Monocular 3D Object Detection [ICCV2021][Pytorch]
• [DD3D] Is Pseudo-Lidar needed for Monocular 3D Object detection [ICCV2021][Pytorch]
• [GUPNet] Geometry Uncertainty Projection Network for Monocular 3D Object Detection [ICCV2021][Pytorch]
• [Neighbor-Vote] Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting [ACMMM2021]
• [MonoEF] Monocular 3D Object Detection: An Extrinsic Parameter Free Approach [CVPR2021][Pytorch]
• [monodle] Delving into Localization Errors for Monocular 3D Object Detection [CVPR2021][Pytorch]
• [Monoflex] Objects are Different: Flexible Monocular 3D Object Detection [CVPR2021][Pytorch]
• [GrooMeD-NMS] GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection [CVPR2021][Pytorch]
• [DDMP-3D] Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection [CVPR2021][Pytorch]
• [MonoRUn] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation [CVPR2021][Pytorch]
• [M3DSSD] M3DSSD: Monocular 3D Single Stage Object Detector [CVPR2021][Pytorch]
• [CaDDN] Categorical Depth Distribution Network for Monocular 3D Object Detection [CVPR2021][Pytorch]
• [visualDet3D] Ground-aware Monocular 3D Object Detection for Autonomous Driving [RA-L][Pytorch]

2020

• [UR3D] Distance-Normalized Unified Representation for Monocular 3D Object Detection [ECCV2020]
• [MonoDR] Monocular Differentiable Rendering for Self-Supervised 3D Object Detection [ECCV2020]
• [DA-3Ddet] Monocular 3d object detection via feature domain adaptation [ECCV2020]
• [MoVi-3D] Towards generalization across depth for monocular 3d object detection [ECCV2020]
• [PatchNet] Rethinking Pseudo-LiDAR Representation [ECCV2020][Pytorch]
• [RAR-Net] Reinforced Axial Refinement Network for Monocular 3D Object Detection [ECCV2020]
• [kinematic3d] Kinematic 3D Object Detection in Monocular Video [ECCV2020][Pytorch]
• [RTM3D] RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving [ECCV2020][Pytorch]
• [SMOKE] SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation [CVPRW2020][Pytorch]
• [D4LCN] Learning Depth-Guided Convolutions for Monocular 3D Object Detection [CVPRW2020][Pytorch]
• [MonoPair] MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships [CVPR2020]
• [pseudo-LiDAR_e2e] End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection [CVPR2020][Pytorch]
• [Pseudo-LiDAR++] Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving [ICLR2020][Pytorch]
• [OACV] Object-Aware Centroid Voting for Monocular 3D Object Detection [IROS2020]
• [MonoGRNet_v2] Monocular 3D Object Detection via Geometric Reasoning on Keypoints [VISIGRAPP2020]
• [ForeSeE] Task-Aware Monocular Depth Estimation for 3D Object Detection [AAAI2020(oral)][Pytorch]
• [Decoupled-3D] Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation [AAAI2020]

2019

• [3d-vehicle-tracking] Joint Monocular 3D Vehicle Detection and Tracking [ICCV2019][Pytorch]
• [MonoDIS] Disentangling monocular 3d object detection [ICCV2019]
• [AM3D] Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving [ICCV2019]
• [M3D-RPN] M3D-RPN: Monocular 3D Region Proposal Network for Object Detection [ICCV2019(Oral)][Pytorch]
• [MVRA] Multi-View Reprojection Architecture for Orientation Estimation [ICCVW2019]
• [Mono3DPLiDAR] Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud [ICCVW2019]
• [MonoPSR] Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction [CVPR2019][Pytorch]
• [FQNet] Deep fitting degree scoring network for monocular 3d object detection [CVPR2019]
• [ROI-10D] ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape [CVPR2019]
• [GS3D] GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving [CVPR2019]
• [Pseudo-LiDAR] Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving [CVPR2019][Pytorch]
• [BirdGAN] Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles [IROS2019]
• [MonoGRNet] MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization [AAAI2019(oral)][Tensorflow]
• [OFT-Net] Orthographic feature transform for monocular 3d object detection [BMVC2019][Pytorch]
• [Shift R-CNN] Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints [TIP2019]
• [SS3D] SS3D: Monocular 3d object detection and box fitting trained end-to-end using intersection-over-union loss [Arxiv2019]

2018

• [Multi-Fusion] Multi-Level Fusion based 3D Object Detection from Monocular Images [CVPR2018][Pytorch]
• [Mono3D++] Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors [AAAI2018]

2017

• [Deep3DBox] 3D Bounding Box Estimation Using Deep Learning and Geometry [CVPR2017][Pytorch][Tensorflow]
• [Deep MANTA] Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image [CVPR2017]

2016

• [Mono3D] Monocular 3D object detection for autonomous driving [CVPR2016]

KITTI Results