| Adversarial Robustification via Text-to-Image Diffusion Models | Jul 26, 2024 | Adversarial Robustnesszero-shot-classification | CodeCode Available | 1 | 5 |
| CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention | Sep 28, 2022 | Training-free 3D Point Cloud ClassificationTransfer Learning | CodeCode Available | 1 | 5 |
| Learning Customized Visual Models with Retrieval-Augmented Knowledge | Jan 17, 2023 | Contrastive LearningRetrieval | CodeCode Available | 1 | 5 |
| PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts | Aug 2, 2023 | Classificationimage-classification | CodeCode Available | 1 | 5 |
| Controlling Latent Diffusion Using Latent CLIP | Mar 11, 2025 | DenoisingDescriptive | CodeCode Available | 1 | 5 |
| Contrastive Language-Image Pre-training for the Italian Language | Aug 19, 2021 | Image RetrievalMulti-label zero-shot learning | CodeCode Available | 1 | 5 |
| From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection | May 19, 2025 | feature selectionOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Improved Probabilistic Image-Text Representations | May 29, 2023 | Data AugmentationImage-text matching | CodeCode Available | 1 | 5 |
| PRIOR: Prototype Representation Joint Learning from Medical Images and Reports | Jul 24, 2023 | Contrastive LearningImage to text | CodeCode Available | 1 | 5 |
| Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion | Feb 7, 2023 | ClassificationDiversity | CodeCode Available | 1 | 5 |
