ExplainableML / ProbVLMLinks
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
☆44Updated last year
Alternatives and similar repositories for ProbVLM
Users that are interested in ProbVLM are comparing it to the libraries listed below
Sorting:
- Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…☆56Updated 7 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- [WACV 2026] An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.☆30Updated 7 months ago
- Hyperbolic Image Segmentation, CVPR 2022☆90Updated 3 years ago
- ☆43Updated last month
- AlignCLIP: Improving Cross-Modal Alignment in CLIP (ICLR 2025)☆51Updated 8 months ago
- PyTorch code and pretrained weights for the UNIC models.☆41Updated last year
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆39Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated last year
- Revisiting Test Time Adaptation Under Online Evaluation☆35Updated last year
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 3 years ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆41Updated 2 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 10 months ago
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆36Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆23Updated 2 years ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆21Updated 2 years ago
- [COLING'25] HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding☆43Updated 11 months ago
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆95Updated last month
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆108Updated last year
- [ICCV 2023] Official repository of paper titled "Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?"☆25Updated 2 years ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆77Updated 5 months ago
- [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation☆23Updated 2 years ago
- Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"☆64Updated 3 years ago
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆43Updated 2 years ago
- (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights☆29Updated last year
- Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning☆26Updated 2 years ago
- Official Pytorch implementation of "Visual Recognition with Deep Nearest Centroids". (ICLR2023 Spotlight)☆67Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆43Updated last year
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆56Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago