WNJXYK / DeCoOpLinks
☆16Updated last year
Alternatives and similar repositories for DeCoOp
Users that are interested in DeCoOp are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆30Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆20Updated 11 months ago
- [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"☆12Updated 10 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆31Updated last year
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆89Updated 11 months ago
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆56Updated last year
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆28Updated 9 months ago
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆25Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆79Updated last year
- [NeurIPS2024] An official pytorch implement of the paper: BoostAdapter: Improving Test-Time Adaptation via Regional Bootstrapping☆16Updated 6 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 10 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆27Updated 11 months ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆17Updated 4 months ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆70Updated 2 years ago
- ☆16Updated 10 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆67Updated 2 years ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆22Updated 4 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆98Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆48Updated 2 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Updated last year
- Code for our NeurIPS´24 paper☆36Updated 10 months ago
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆36Updated last month
- [CVPR 24] This is official implication for our paper: ''CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning''.☆14Updated 5 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆46Updated last month
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 2 months ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆105Updated 3 years ago