huangjk97 / T2T
Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
☆25Updated 3 years ago
Alternatives and similar repositories for T2T:
Users that are interested in T2T are comparing it to the libraries listed below
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- ☆58Updated last year
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆34Updated 2 years ago
- [ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free D…☆31Updated 2 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 3 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- ☆18Updated 2 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated 2 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆40Updated 2 years ago
- [NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning☆16Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆98Updated 3 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆69Updated 4 months ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆37Updated 4 months ago
- ☆12Updated 3 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆79Updated last year
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆76Updated 2 years ago
- Repository for OVANet☆85Updated 3 years ago
- ☆9Updated last year
- ☆34Updated last year
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆34Updated 2 years ago
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆30Updated last year
- ☆48Updated last year
- ☆37Updated 3 years ago
- ☆11Updated 2 years ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆71Updated 2 years ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆21Updated last year
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆10Updated 3 years ago