kdariina / CLIP-not-BoW-unimodally
Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
☆11Updated 2 months ago
Alternatives and similar repositories for CLIP-not-BoW-unimodally:
Users that are interested in CLIP-not-BoW-unimodally are comparing it to the libraries listed below
- Code and datasets for "Text encoders are performance bottlenecks in contrastive vision-language models". Coming soon!☆11Updated last year
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆11Updated 8 months ago
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆20Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆32Updated 2 years ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆31Updated last year
- [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"☆19Updated last month
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated last year
- This repository is related to 'Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models', published at TMLR (2024), https…☆19Updated 10 months ago
- ☆23Updated last month
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆24Updated 5 months ago
- ☆24Updated last year
- ☆29Updated 2 years ago
- ☆22Updated 11 months ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated last year
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆38Updated last month
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 5 months ago
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆36Updated last year
- Create generated datasets and train robust classifiers☆35Updated last year
- Test-Time Distribution Normalization For Contrastively Learned Vision-language Models☆28Updated last year
- Official Repository of "On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers" (Visual Continual Learnin…☆8Updated last year
- ☆11Updated 10 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆44Updated last month
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆16Updated last year
- ☆50Updated last month
- ☆12Updated last year
- [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization☆31Updated 2 years ago
- Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models"☆15Updated 9 months ago
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- ☆11Updated 2 years ago