Alternatives and similar repositories for DensePASS:

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

• susaha / ctrl-uda
  An implementation of our work "Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation".
  ☆36Updated 3 years ago
• ifnspaml / AmodalCityscapes
  ☆13Updated last year
• leolyj / DsCML
  This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Se…
  ☆48Updated 3 years ago
• qinenergy / corda
  [ICCV 2021] Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
  ☆71Updated 3 years ago
• multimodallearning / flownet3d.pytorch
  PyTorch Implementation of FlowNet3D (https://arxiv.org/pdf/1806.01411.pdf)
  ☆15Updated 5 years ago
• ccc870206 / 3D-PL
  [ECCV2022] 3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
  ☆17Updated 2 years ago
• vobecant / DriveAndSegment
  ☆55Updated 4 months ago
• valeoai / xmuda_journal
  [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
  ☆32Updated 2 years ago
• CVMI-Lab / DARS
  (ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.
  ☆63Updated 3 years ago
• dvlab-research / DecoupleNet
  Official implementation for our ECCV 2022 paper "DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation"
  ☆36Updated 2 years ago
• Robertwyq / LSMOL
  [NeurIPS 2022] 4D Unsupervised Object Discovery
  ☆55Updated last year
• sheepooo / PIT-Position-Invariant-Transform
  PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
  ☆25Updated 3 years ago
• nerminsamet / seedal
  [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation
  ☆28Updated last year
• valeoai / SALUDA
  Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".
  ☆39Updated 5 months ago
• LuigiRiz / NOPS
  Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"
  ☆62Updated last year
• BIT-DA / Annotator
  [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation
  ☆30Updated 11 months ago
• saltoricristiano / gipso-sfouda
  Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segme…
  ☆46Updated 2 years ago
• Fayeben / ADAS
  A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
  ☆13Updated 2 years ago
• shaofeifei11 / SSDR-AL
  Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
  ☆24Updated 7 months ago
• theo2021 / OnDA
  Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the cod…
  ☆28Updated 9 months ago
• jhornauer / GrUMoDepth
  Gradient-based Uncertainty for Monocular Depth Estimation (ECCV 2022)
  ☆45Updated last year
• hwcao17 / ASAP-Net
  Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
  ☆29Updated 4 years ago
• jamycheung / Trans4PASS
  Repository of Trans4PASS (accepted to CVPR2022)
  ☆86Updated 2 years ago
• liuzhengzhe / 3D-to-2D-Distillation-for-Indoor-Scene-Parsing
  CVPR 2021 Oral https://arxiv.org/abs/2104.02243
  ☆47Updated last year
• visinf / da-sac
  Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)
  ☆149Updated 3 years ago
• ItIsFriday / PcdSeg
  ☆11Updated 2 years ago
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 2 years ago
• brandleyzhou / SUB-Depth
  [arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"
  ☆16Updated 2 years ago
• ginobilinie / kp_pyramid
  ☆27Updated 3 weeks ago
• dvlab-research / Imbalanced-Learning
  Imbalanced learning tool for imbalanced recognition and segmentation
  ☆85Updated last year