nayeemrizve / OpenLDNLinks
"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)
☆35Updated 2 years ago
Alternatives and similar repositories for OpenLDN
Users that are interested in OpenLDN are comparing it to the libraries listed below
Sorting:
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- ☆36Updated last year
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆45Updated 2 years ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆110Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆101Updated 3 years ago
- The official repository for ICLR2024 paper "SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Pr…☆30Updated 2 months ago
- [NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning☆16Updated 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
- ☆58Updated 2 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"☆16Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"☆27Updated 2 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆80Updated last year
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆71Updated 3 years ago
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆32Updated last year
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆34Updated 2 years ago
- Repository for OVANet☆85Updated 3 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆72Updated 6 months ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆50Updated 2 years ago
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆33Updated 2 years ago
- Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021☆75Updated 2 years ago
- ☆49Updated 2 years ago
- [ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)☆38Updated 3 years ago
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆26Updated last year
- ☆34Updated 2 years ago
- Code for ComEx (CVPR 2022)☆11Updated 2 years ago
- ☆32Updated 2 years ago