contrastive language-image pretraining

EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models CVPR 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NeurIPS 2024 Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024 From Pixels to Metal: AI-Empowered Numismatic Art IJCAI 2024 LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network CVPR 2024 LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection SemEval 2024 MoDE: CLIP Data Experts via Clustering CVPR 2024 Release of Pre-Trained Models for the Japanese Language COLING 2024 TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training AAAI 2024 Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection CVPR 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning ICLR 2024 Transfer CLIP for Generalizable Image Denoising CVPR 2024 VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models EMNLP 2024 ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NeurIPS 2024 ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption ICCV 2023 AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities ACL 2023 AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation CVPR 2023 CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention AAAI 2023 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023 CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos ICLR 2023 Delving into the Openness of CLIP ACL 2023 Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning NeurIPS 2023 Exploring CLIP for Assessing the Look and Feel of Images AAAI 2023