| Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction | Mar 16, 2024 | Adversarial RobustnessImage-text Retrieval | —Unverified | 0 |
| Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples | Mar 5, 2024 | Concept AlignmentContrastive Learning | —Unverified | 0 |
| Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning | Jan 30, 2024 | DiversityImage-text Retrieval | CodeCode Available | 0 |
| Enhancing Image-Text Matching with Adaptive Feature Aggregation | Jan 18, 2024 | Image-text matchingImage-text Retrieval | CodeCode Available | 0 |
| SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment | Jan 4, 2024 | Image Captioningimage-classification | —Unverified | 0 |
| Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data | Dec 11, 2023 | Image CaptioningImage-text Retrieval | —Unverified | 0 |
| LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models | Dec 1, 2023 | image-classificationImage Classification | —Unverified | 0 |
| IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers | Nov 27, 2023 | Caption GenerationImage-text Retrieval | —Unverified | 0 |
| A New Fine-grained Alignment Method for Image-text Matching | Nov 3, 2023 | Image-text matchingImage-text Retrieval | —Unverified | 0 |
| MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval | Oct 30, 2023 | cross-modal alignmentImage-text Retrieval | —Unverified | 0 |
