Alternatives and similar repositories for Inferring-Spatial-Uncertainty-in-Object-Detection

Users that are interested in Inferring-Spatial-Uncertainty-in-Object-Detection are comparing it to the libraries listed below

• gujiaqivadin / HomographyLoss
  Pytorch code of Paper 'Homography Loss for Monocular 3D Object Detection'
  ☆60Updated 3 years ago
• xinge008 / SSN
  SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds (ECCV2020)
  ☆50Updated 4 years ago
• yanglei18 / Lite-FPN
  This is the official implementation of our manuscript "Lite-FPN for Keypoint-based Monocular 3D Object Detection"
  ☆30Updated 2 years ago
• yinjunbo / 3DVID
  LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention (CVPR20)
  ☆71Updated 5 years ago
• amazon-science / progressive-coordinate-transforms
  Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021
  ☆65Updated 3 years ago
• mumianyuxin / M3DSSD
  M3DSSD: Monocular 3D Single Stage Object Detector
  ☆69Updated 3 years ago
• abhi1kumar / groomed_nms
  [CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
  ☆91Updated last year
• tjiiv-cprg / MonoRUn
  [CVPR 2021] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
  ☆108Updated 3 years ago
• NVlabs / M2BEV
  ☆59Updated 3 years ago
• once-for-auto-driving / once_devkit
  ☆81Updated 3 years ago
• Inspur-Autodrive / Inspur_DABNet4D
  This method performs 3D object detection in the BEV space using images from multiple cameras.
  ☆32Updated 2 years ago
• Willy0919 / DDMP-3D
  [CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.
  ☆35Updated 4 years ago
• hongzhenwang / RRPN-revise
  ☆11Updated 7 years ago
• zhouyunsong / MonoEF
  Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
  ☆56Updated 3 years ago
• dongfang-steven-yang / faraway-frustum
  A frustum-based method for detecting far-away objects in autonomous driving.
  ☆47Updated 4 years ago
• shinya7y / WaymoCOCO
  Waymo Open Dataset converter to COCO format
  ☆40Updated 5 years ago
• hlesmqh / WS3D
  Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
  ☆125Updated 4 years ago
• motional / polarstream
  ☆58Updated 3 years ago
• cmpute / d3d
  Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
  ☆37Updated 3 years ago
• xinshuoweng / AIODrive
  Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range…
  ☆61Updated last year
• weiyithu / FGR
  [ICRA 2021] FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
  ☆43Updated 4 years ago
• detectRecog / ZoomNet
  ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
  ☆67Updated 5 years ago
• cxy1997 / 3D_adapt_auto_driving
  Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
  ☆132Updated 2 years ago
• kcyu2014 / lidar-camera-robust-benchmark
  Toolkit to convert a clean LiDAR-camera dataset into a robustness benchmark
  ☆59Updated 3 years ago
• swords123 / IDA-3D
  IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020
  ☆75Updated 3 years ago
• sky77764 / pa-aug.pytorch
  Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)
  ☆84Updated 2 years ago
• mit-han-lab / e3d
  Efficient 3D Deep Learning
  ☆46Updated 4 years ago
• xyaochen / FUTR3D
  ☆26Updated 3 years ago
• ZJULearning / PI-RCNN
  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
  ☆21Updated 4 years ago
• liuruijin17 / 3DLSCPTR
  This is an official repository of Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
  ☆18Updated 3 years ago