fengyuli-dev / distribution-normalizationLinks
Test-Time Distribution Normalization For Contrastively Learned Vision-language Models
☆27Updated 2 years ago
Alternatives and similar repositories for distribution-normalization
Users that are interested in distribution-normalization are comparing it to the libraries listed below
Sorting:
- Create generated datasets and train robust classifiers☆36Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆53Updated 2 years ago
- An official PyTorch implementation for CLIPPR☆30Updated 2 years ago
- ☆35Updated 2 years ago
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆19Updated 7 months ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆32Updated 2 years ago
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated 2 years ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆61Updated 2 years ago
- ☆25Updated 2 years ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆22Updated last year
- Code and Models for "GeneCIS A Benchmark for General Conditional Image Similarity"☆61Updated 2 years ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆25Updated last year
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated last year
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- https://arxiv.org/abs/2209.15162☆53Updated 3 years ago
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆39Updated 9 months ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated 2 years ago
- This repository is related to 'Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models', published at TMLR (2024), https…☆21Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 9 months ago
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆35Updated 2 years ago
- [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"☆21Updated 10 months ago
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆59Updated 2 years ago
- repo for paper titled: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment (AAAI'24 Oral)☆25Updated last year
- ☆56Updated 5 months ago
- Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"☆33Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆39Updated last year