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Conventional Methods Camera 3D Object Detection

  • Monocular 3D Object Detection for Autonomous Driving / paper / CVPR 2016 / Mono3D
  • 3D Bounding Box Estimation Using Deep Learning and Geometry / paper / CVPR 2017 / Deep3DBox
  • 3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare / paper / video / project / CVPR 2018 / 3D-RCNN
  • Objects as Points / paper / project / arXiv / CenterNet
  • Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving / paper / supplemental / project / CVPR 2019 / Pseudo-Lidar
  • M3D-RPN: Monocular 3D Region Proposal Network for Object Detection / paper / video / project / ICCV 2019 / M3D-RPN
  • Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction / paper / supplemental / project / CVPR 2019 / MonoPSR
  • Orthographic Feature Transform for Monocular 3D Object Detection / paper / project / arXiv / OFTNet
  • ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape / paper / supplemental / CVPR 2019 / ROI-10D
  • SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation / paper / project / CVPR 2020 / SMOKE
  • Categorical Depth Distribution Network for Monocular 3D Object Detection / paper / supplemental / project / CVPR 2021 / CaDDN
  • FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection / paper / supplemental / project / ICCV 2021 / FCOS3D
  • FCOS: Fully Convolutional One-Stage Object Detection / paper / project / ICCV 2019 / FCOS
  • Probabilistic and Geometric Depth: Detecting Objects in Perspective / paper / project / CoRL 2022 / PGD