ml-postech / adaptive-superpixel-for-active-learning-in-semantic-segmentationLinks
☆18Updated last year
Alternatives and similar repositories for adaptive-superpixel-for-active-learning-in-semantic-segmentation
Users that are interested in adaptive-superpixel-for-active-learning-in-semantic-segmentation are comparing it to the libraries listed below
Sorting:
- Active Label Correction for Semantic Segmentation with Foundation Models☆16Updated 5 months ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated 2 years ago
- This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).☆20Updated 4 months ago
- ☆53Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 3 months ago
- Code for "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation" (NeurIPS 23)☆12Updated last year
- ☆44Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆102Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated last year
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆64Updated 2 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- ☆47Updated 2 years ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆87Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆100Updated 3 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated 7 months ago
- ☆39Updated 8 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- Model calibration in CLIP Adapters☆18Updated 11 months ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆34Updated last year
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆43Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated 10 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆36Updated 10 months ago
- Official code for "Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization (CVPR 2022)"☆30Updated last year
- List of papers that combine self-supervision and continual learning☆67Updated 4 months ago
- This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn …☆13Updated last month
- [CVPR 2024] TEA: Test-time Energy Adaptation☆67Updated last year
- ☆65Updated 3 years ago