fengyuli-dev / distribution-normalizationLinks
Test-Time Distribution Normalization For Contrastively Learned Vision-language Models
☆27Updated last year
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 last year
- Compress conventional Vision-Language Pre-training data☆51Updated last year
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆39Updated 2 years ago
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated last year
- An official PyTorch implementation for CLIPPR☆29Updated 2 years ago
- SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models☆20Updated last year
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆24Updated 8 months ago
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆19Updated last month
- Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"☆36Updated 11 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated 2 years ago
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆33Updated 2 years ago
- https://arxiv.org/abs/2209.15162☆51Updated 2 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆57Updated 8 months ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated 2 years ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated last year
- ☆34Updated last year
- Code and datasets for "Text encoders are performance bottlenecks in contrastive vision-language models". Coming soon!☆11Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated 11 months ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆41Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆33Updated 10 months ago
- Code and Models for "GeneCIS A Benchmark for General Conditional Image Similarity"☆60Updated 2 years ago
- [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"☆41Updated 8 months ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆177Updated last year
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated 2 years ago
- Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…☆42Updated 11 months ago
- Python package to download and use the SSB datasets☆11Updated 2 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆21Updated 8 months ago