Alternatives and similar repositories for BEVContrast:

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

• VDIGPKU / BEV-MAE
  [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
  ☆62Updated 3 months ago
• valeoai / ScaLR
  PyTorch code and models for ScaLR image-to-lidar distillation method
  ☆50Updated 10 months ago
• youquanl / M3Net
  Multi-Space Alignments Towards Universal LiDAR Segmentation
  ☆44Updated 6 months ago
• atonderski / lidarclip
  Bridging lidar and text through image intermediaries
  ☆88Updated last year
• Eaphan / OLIVINE
  Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models (NeurIPS2024)
  ☆36Updated 5 months ago
• Jun-CEN / Open-world-3D-semantic-segmentation
  [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds
  ☆72Updated 2 years ago
• Terminal-K / MambaMOS
  Official code implementation of MambaMOS
  ☆39Updated 9 months ago
• PRBonn / TARL
  [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
  ☆105Updated last year
• emecercelik / ssl-3d-detection
  ☆41Updated last year
• KTH-RPL / SeFlow
  [ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
  ☆91Updated last month
• skyhehe123 / MSF
  MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)
  ☆58Updated last year
• Rorisis / Co-Occ
  [IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Predictio…
  ☆51Updated 7 months ago
• myc634 / UltraLiDAR_nusc_waymo
  ☆52Updated last year
• KTH-RPL / OpenSceneFlow
  A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)
  ☆36Updated last month
• georghess / voxel-mae
  Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"
  ☆78Updated 2 years ago
• valeoai / rangevit
  ☆90Updated last year
• DanielMing123 / OCCFusion
  [IEEE TIV] OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction
  ☆30Updated 6 months ago
• YunzeMan / BEVGuide
  [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception
  ☆35Updated last year
• boschresearch / evidential-occupancy
  Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"
  ☆21Updated 6 months ago
• Xiangxu-0103 / SuperFlow
  [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners
  ☆45Updated last month
• 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
• JunchengYan / GroundedSAM_OccNeRF
  ☆22Updated last year
• hailanyi / CPD
  Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)
  ☆64Updated 7 months ago
• KuanchihHuang / PTT
  [CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
  ☆68Updated 10 months ago
• vobecant / POP3D
  Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"
  ☆106Updated 3 months ago
• valeoai / Occfeat
  ☆21Updated 10 months ago
• ywyeli / Place3D
  [NeurIPS'24 Spotlight] Is Your LiDAR Placement Optimized for 3D Scene Understanding?
  ☆41Updated 7 months ago
• l1997i / Rapid_Seg
  🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
  ☆44Updated 8 months ago
• YanhaoWu / STSSL
  Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023
  ☆47Updated last year
• AlphaPlusTT / DAOcc
  DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction
  ☆52Updated last week