conftrace_

contrastive language-image pretraining

41 papers

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Also known as

CLIP

Co-occurring keywords

contrastive learning (4032) vision-language model (2348) multimodal learning (4645) transfer learning (5449) zero-shot learning (3650) representation learning (6206) vision language model (767) clip model (218) zero-shot classification (230) few-shot learning (3398)

Papers

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning CVPR 2025
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation CVPR 2025
Visual Prompt Engineering for Vision Language Models in Radiology MIDL 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025
I0T: Embedding Standardization Method Towards Zero Modality Gap ACL 2025
Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction MIDL 2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP ICCV 2025
SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining CVPR 2025
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models EMNLP 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024
MoDE: CLIP Data Experts via Clustering CVPR 2024
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models CVPR 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NIPS 2024
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network CVPR 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection CVPR 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NIPS 2024
Query Generation Using GPT-3 for CLIP-Based Word Sense Disambiguation for Image Retrieval ACL 2023
The CLIP Model is Secretly an Image-to-Prompt Converter NIPS 2023