Alternatives and similar repositories for e3d:

Users that are interested in e3d are comparing it to the libraries listed below

• motional / polarstream
  ☆55Updated 3 years ago
• feihuzhang / LiDARSeg
  ☆71Updated 3 years ago
• DeyvidKochanov-TomTom / kprnet
  ☆67Updated 3 years ago
• AndyYuan96 / PointCloudDynamicVoxel
  ☆56Updated 4 years ago
• sky77764 / pa-aug.pytorch
  Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)
  ☆81Updated 2 years ago
• MehmetAygun / 4D-PLS
  4D Panoptic Lidar Segmentation
  ☆154Updated 7 months ago
• YurongYou / MODEST
  Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]
  ☆88Updated last month
• dvlab-research / VFF
  Voxel Field Fusion for 3D Object Detection (CVPR2022)
  ☆101Updated 2 years ago
• Shaoqing26 / FusionPainting
  ☆47Updated 2 years ago
• once-for-auto-driving / once_devkit
  ☆80Updated 3 years ago
• peiyunh / wysiwyg
  WYSIWYG: Exploiting Visibility for 3D Object Detection, CVPR 2020 (Oral)
  ☆115Updated 4 years ago
• dvlab-research / DeepVision3D
  DeepVision3D is an open source toolbox for point-cloud understanding.
  ☆120Updated 2 years ago
• robot-learning-freiburg / EfficientLPS
  PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic
  ☆95Updated last year
• edwardzhou130 / Panoptic-PolarNet
  Implementation for Panoptic-PolarNet (CVPR 2021)
  ☆173Updated 4 years ago
• PointsCoder / Pyramid-RCNN
  Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
  ☆68Updated 2 years ago
• weiyithu / LiDAR-Distillation
  [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
  ☆111Updated last year
• chenfengxu714 / YOGO
  Official implementation of YOGO for point-cloud processing
  ☆79Updated 3 years ago
• TRAILab / PDV
  Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)
  ☆161Updated 2 years ago
• Divadi / simple_plot3d
  A simple 3D & BEV visualizer for point clouds and 3D boxes.
  ☆52Updated 3 years ago
• qiqihaer / votenet-kitti
  ☆21Updated 4 years ago
• tusen-ai / LiDAR_SOT
  ☆121Updated 2 years ago
• weiyithu / FGR
  [ICRA 2021] FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
  ☆43Updated 3 years ago
• hustvl / AziNorm
  AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception, CVPR 2022.
  ☆54Updated 2 years ago
• hlesmqh / WS3D
  Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
  ☆126Updated 4 years ago
• dongfang-steven-yang / faraway-frustum
  A frustum-based method for detecting far-away objects in autonomous driving.
  ☆47Updated 3 years ago
• PRBonn / lidar_transfer
  Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
  ☆79Updated 8 months ago
• rayguan97 / M3DETR
  Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
  ☆98Updated 7 months ago
• cxy1997 / 3D_adapt_auto_driving
  Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
  ☆131Updated 2 years ago
• leolyj / DCA-SRSFE
  This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …
  ☆37Updated 2 years ago
• xy-guo / LIGA-Stereo
  Code for LIGA-Stereo Detector, ICCV'21
  ☆93Updated 3 years ago