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WoodScape
The repository containing tools and information about the WoodScape dataset.ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationLOST
Pytorch implementation of LOST unsupervised object discovery methodxmuda
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic SegmentationZS3
Zero-Shot Semantic SegmentationPOCO
SLidR
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"ALSO
ALSO: Automotive Lidar Self-supervision by Occupancy estimationConfidNet
Addressing Failure Prediction by Learning Model ConfidenceRADIal
Maskgit-pytorch
BF3S
Boosting Few-Shot Visual Learning with Self-SupervisionDADA
Depth-aware Domain Adaptation in Semantic SegmentationFLOT
FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Cloudsobow
carrada_dataset
rangevit
PointBeV
Official implementation of PointBeV: A Sparse Approach to BeV Predictionsrainbow-iqn-apex
Distributed Rainbow-IQN for AtariBEVContrast
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementationFOUND
PyTorch code for Unsupervised Object Localization: Observing the Background to Discover ObjectsAwesome-Unsupervised-Object-Localization
Curated list of awesome works on unsupervised object localization in 2D images.LightConvPoint
MVRSS
FKAConv
LaRa
LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic SegmentationSALUDA
Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".ScaLR
PyTorch code and models for ScaLR image-to-lidar distillation method3DGenZ
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"obsnet
BUDA
Boundless Unsupervised Domain Adaptation in Semantic SegmentationSemanticPalette
Semantic Palette: Guiding Scene Generation with Class Proportionsxmuda_journal
[TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationGenVal
Reliability in Semantic Segmentation: Can We Use Synthetic Data? (ECCV 2024)PCAM
NeeDrop
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle DroppingMTAF
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic SegmentationESL
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationSTEEX
STEEX: Steering Counterfactual Explanations with SemanticsTTYD
Public repository for the ECCV 2024 paper "Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation".OCTET
CAB
Occfeat
MuHDi
Official PyTorch implementation of "Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation"diffhpe
Official code of "DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion"bravo_challenge
BRAVO Challenge Toolkit and Evaluation Codesfrik
Official code for "Self-supervised learning with rotation-invariant kernels"BEEF
MFEval
[ICRA2024] Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? This is the official implementation of the evaluation protocol proposed in this work for motion forecasting models with real-world perception inputs.MOCA
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook AssignmentsSP4ASC
bownet
Learning Representations by Predicting Bags of Visual WordsQuEST
UNIT
UNIT: Unsupervised Online Instance Segmentation through Time - Official PyTorch implementationPAFUSE
Official repository of PAFUSEdl_utils
The library used in the Valeo Deep learning training.tutorial-images
valeoai.github.io
MF_aWTA
This is official implementation for annealed Winner-Takes-All loss in <Annealed Winner-Takes-All for Motion Forecasting>.Love Open Source and this site? Check out how you can help us