SarahRastegar / Open-World-PapersLinks
A comprehensive collection of open world papers from top tier conferences and journals
☆23Updated 8 months ago
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- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆113Updated last year
- The official repository for ICLR2024 paper "SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Pr…☆33Updated 5 months ago
- ☆40Updated last year
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]☆96Updated 3 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆45Updated 2 years ago
- Official Repository of "Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery" (NeurIPS 2023)☆21Updated last month
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 2 years ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆41Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- The official repository for ECCV2024 paper "PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery"☆25Updated 5 months ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆105Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆44Updated 6 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
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- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆90Updated last year
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆22Updated 4 months ago
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆33Updated last year
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆40Updated 10 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆99Updated 2 years ago
- (CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)☆21Updated last year
- [NeurIPS 2023] Meta-Adapter☆49Updated last year
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆41Updated last year
- Code for Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models☆27Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆23Updated 5 months ago
- [CVPR'24] Official PyTorch implementation of Contrastive Mean-Shift Learning for Generalized Category Discovery☆48Updated last year
- Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery☆16Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆57Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated last year