CVLAB-Unibo / Feature-Distillation-for-3D-UDALinks
☆10Updated 3 years ago
Alternatives and similar repositories for Feature-Distillation-for-3D-UDA
Users that are interested in Feature-Distillation-for-3D-UDA are comparing it to the libraries listed below
Sorting:
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆18Updated 2 years ago
- ☆24Updated 2 years ago
- ☆15Updated 4 years ago
- Code for ICCV 2023 work "Generalized Few-Shot Point Cloud Segmentation Via Geometric Words"☆12Updated 2 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆32Updated 3 years ago
- Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**☆13Updated 7 months ago
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆305Updated last year
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆440Updated 4 years ago
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆22Updated 2 years ago
- Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022☆25Updated 2 years ago
- Distribution Aware Tuning☆15Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆125Updated 2 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆265Updated 2 years ago
- code for "Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks"☆27Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated last year
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆90Updated 3 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆50Updated 2 years ago
- [ACM MM 2023] Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement☆12Updated last year
- [CVPR'24] Official PyTorch implementation of Contrastive Mean-Shift Learning for Generalized Category Discovery☆49Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆32Updated last year
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆51Updated 3 years ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆69Updated 2 years ago
- Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021☆41Updated 3 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆105Updated 4 years ago
- This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis☆18Updated 3 years ago
- Active Label Correction for Semantic Segmentation with Foundation Models☆19Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆201Updated 2 years ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 2 months ago
- A repository and benchmark for online test-time adaptation.☆268Updated 8 months ago