mlfoundations / clip_quality_not_quantityLinks
☆29Updated 3 years ago
Alternatives and similar repositories for clip_quality_not_quantity
Users that are interested in clip_quality_not_quantity are comparing it to the libraries listed below
Sorting:
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Code for T-MARS data filtering☆35Updated 2 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022☆31Updated 2 years ago
- Implementation for the paper "Reliable Visual Question Answering Abstain Rather Than Answer Incorrectly" (ECCV 2022: https//arxiv.org/abs…☆38Updated 2 years ago
- Code for Debiasing Vision-Language Models via Biased Prompts☆60Updated 2 years ago
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆12Updated 4 months ago
- https://arxiv.org/abs/2209.15162☆53Updated 2 years ago
- Command-line tool for downloading and extending the RedCaps dataset.☆50Updated 2 years ago
- The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".☆34Updated 2 years ago
- ☆53Updated 3 years ago
- Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl 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
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated 2 years ago
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated last year
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆35Updated 2 years ago
- ☆25Updated 2 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆36Updated last year
- The SVO-Probes Dataset for Verb Understanding☆31Updated 3 years ago
- ☆35Updated last year
- VaLM: Visually-augmented Language Modeling. ICLR 2023.☆56Updated 2 years ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated 2 years ago
- PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)☆33Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆52Updated 2 years ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated last year
- Source code for the paper "Prefix Language Models are Unified Modal Learners"☆43Updated 2 years ago
- ☆47Updated last year