Alternatives and similar repositories for ssl-3d-detection

Users that are interested in ssl-3d-detection are comparing it to the libraries listed below

• songw-zju / Meta-RangeSeg
  The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS …
  ☆47Updated 2 years ago
• MCG-NJU / LinK
  [CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
  ☆98Updated last year
• valeoai / BEVContrast
  BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
  ☆80Updated last year
• neeharperi / LT3D
  Towards Long Tailed 3D Detection. CoRL '22
  ☆57Updated last year
• darrenjkt / SEE-VCN
  (ICRA 2023) Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
  ☆21Updated 2 years ago
• dzcgaara / OVO-Open-Vocabulary-Occupancy
  ☆82Updated 2 years ago
• Jun-CEN / Open-world-3D-semantic-segmentation
  [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds
  ☆74Updated 2 years ago
• skyhehe123 / MSF
  MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)
  ☆62Updated 2 years ago
• ChongjianGE / MetaBEV
  MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
  ☆92Updated 2 years ago
• JessieW0806 / Bi-LRFusion
  ☆49Updated last year
• 4DVLab / CL3D
  This repository is for CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection.
  ☆26Updated last year
• Robertwyq / Frustum
  [CVPR 2023] FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
  ☆30Updated last year
• YunzeMan / BEVGuide
  [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception
  ☆34Updated 2 years ago
• YurongYou / MODEST
  Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]
  ☆93Updated 5 months ago
• VDIGPKU / BEV-MAE
  [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
  ☆72Updated 9 months ago
• stevewongv / Sparse2Dense
  Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)
  ☆78Updated 2 years ago
• Jieqianyu / SSC-RS
  [IROS 2023] SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
  ☆34Updated 2 years ago
• WoodwindHu / DTS
  Code for "Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection"
  ☆35Updated 2 years ago
• myc634 / UltraLiDAR_nusc_waymo
  ☆54Updated last year
• valeoai / ALSO
  ALSO: Automotive Lidar Self-supervision by Occupancy estimation
  ☆177Updated 2 years ago
• atonderski / lidarclip
  Bridging lidar and text through image intermediaries
  ☆98Updated last year
• zhouzheyuan / sgm3d
  [RA-L 2022] SGM3D: Stereo Guided Monocular 3D Object Detection
  ☆23Updated 3 years ago
• sty61010 / CrossDTR
  ☆46Updated 2 years ago
• dscdyc / MsSVT
  Repo of "MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds".
  ☆39Updated 2 years ago
• SPengLiang / LPCG
  [ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.
  ☆80Updated 3 years ago
• sankin97 / HMFI
  [ECCV2022] Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
  ☆25Updated 3 years ago
• BraveGroup / FullySparseFusion
  (TPAMI2024) Fully Sparse Fusion for 3D Object Detection
  ☆107Updated last year
• NVlabs / DQTrack
  Official PyTorch implementation of End-to-end 3D Tracking with Decoupled Queries [ICCV 2023]
  ☆68Updated last year
• weiyithu / LiDAR-Distillation
  [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
  ☆112Updated 2 years ago
• ICEORY / REO
  Robust and Efficient Occupancy Prediction
  ☆24Updated 4 months ago