contrastive language-image pretraining

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability ICLR 2025 OpenSDI: Spotting Diffusion-Generated Images in the Open World CVPR 2025 Post-pre-training for Modality Alignment in Vision-Language Foundation Models CVPR 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025 Pull It Together: Reducing the Modality Gap in Contrastive Learning Interspeech 2025 Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling WACV 2025 Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025 Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector CVPR 2025 SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining CVPR 2025 SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning CVPR 2025 SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language CVPR 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling ICLR 2025 Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025 Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization AAAI 2025 Visual Prompt Engineering for Vision Language Models in Radiology MIDL 2025 Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations CVPR 2024 A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation ICLR 2024 Alpha-CLIP: A CLIP Model Focusing on Wherever You Want CVPR 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NeurIPS 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation CVPR 2024 CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare AAAI 2024 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 Demystifying CLIP Data ICLR 2024