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- Machine Learning (1)
- Multimodal AI (1)
- Vision-Language Alignment (1)
- Multimodal Learning (1)
- AI Research (1)
- Model Improvement (1)
- Artificial Intelligence (1)
- Natural Language Processing (1)
- Computer Vision (1)
- Model Evaluation (1)
🏷️ Keywords
CLIP (3) · Multimodal Learning (2) · Vision-Language Alignment (1) · Cauchy-Schwarz Divergence (1) · CS-Aligner (1) · InfoNCE (1) · Cross-modal Generation (1) · Distributional Alignment (1) · Modality Gap (1) · Contrastive Learning (1) · AI Research (1) · Zero-shot Classification (1) · arXiv (1) · Vision-Language Models (1) · Language-Guided Invariance Probing (1) · LGIP benchmark (1) · Zero-shot learning (1) · Linguistic perturbations (1) · Semantic robustness (1) · MS COCO dataset (1)
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📰 Related News (3)
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🇺🇸 Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
arXiv:2502.17028v3 Announce Type: replace-cross Abstract: Vision-language alignment is crucial for various downstream tasks such as cross-modal gener...
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🇺🇸 Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
arXiv:2412.07909v2 Announce Type: replace-cross Abstract: Multimodal learning has recently gained significant popularity, demonstrating impressive pe...
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🇺🇸 Language-Guided Invariance Probing of Vision-Language Models
arXiv:2511.13494v1 Announce Type: cross Abstract: Recent vision-language models (VLMs) such as CLIP, OpenCLIP, EVA02-CLIP and SigLIP achieve strong z...
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Multimodal learning · 2 shared articles