NeurAI-Lab / DoGoLinks
This is the official repo for the CVPR 2021 L2ID paper "Distill on the Go: Online knowledge distillation in self-supervised learning"
☆12Updated 3 years ago
Alternatives and similar repositories for DoGo
Users that are interested in DoGo are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of PS-KD☆87Updated 2 years ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆21Updated 2 years ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆72Updated 2 years ago
- On-Device Domain Generalization☆44Updated 2 years ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆16Updated 2 months ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆41Updated 2 weeks ago
- ☆15Updated 2 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆98Updated 3 years ago
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆42Updated last year
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆50Updated 2 years ago
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Updated last year
- This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".☆20Updated last year
- ☆27Updated 3 years ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- The offical implement of ImbSAM (Imbalanced-SAM)☆23Updated last year
- Codes for ECCV2022 paper - contrastive deep supervision☆69Updated 2 years ago
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆34Updated 2 months ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆69Updated last year
- ☆46Updated 2 years ago
- Official Implementation of AlignMixup - CVPR 2022☆71Updated 3 years ago
- ☆52Updated last year
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 3 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆56Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆80Updated last year
- Feature Fusion for Online Mutual Knowledge Distillation Code☆26Updated 4 years ago