brendel-group / clip-oodLinks
Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)
☆10Updated last year
Alternatives and similar repositories for clip-ood
Users that are interested in clip-ood are comparing it to the libraries listed below
Sorting:
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated 2 years ago
- Create generated datasets and train robust classifiers☆36Updated last year
- ☆29Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"☆15Updated 6 months ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated last year
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆21Updated 8 months ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- Python package to download and use the SSB datasets☆11Updated 2 years ago
- Code and datasets for "Text encoders are performance bottlenecks in contrastive vision-language models". Coming soon!