SarahRastegar / Open-World-PapersLinks
A comprehensive collection of open world papers from top tier conferences and journals
☆25Updated last year
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- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆124Updated 2 years ago
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]☆97Updated 7 months ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆39Updated 2 years ago
- [ICLR2024] SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning☆37Updated 9 months ago
- ☆41Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆32Updated last year
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆48Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated 2 years ago
- ☆25Updated last year
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆103Updated last week
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆36Updated 7 months ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆55Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆55Updated last year
- Multi-level Consistency Learning for Semi-supervised Domain Adaptation, IJCAI 2022☆14Updated 3 years ago
- A comprehensive collection of awesome research and other items about video domain adaptation☆111Updated last year
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆25Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆20Updated 2 months ago
- ☆56Updated 2 years ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆30Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆93Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Updated 3 years ago
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆43Updated 2 years ago
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆75Updated 7 months ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆106Updated 3 years ago