✨HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models

📝 Summary:
HeBA introduces a heterogeneous bottleneck adapter framework for Vision-Language Models. It uses modality-specific processing like convolutions for images and linear projections for text, combined with a compression bottleneck and active gradient initialization. This design improves few-shot lear...

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16653
• PDF: https://arxiv.org/pdf/2603.16653
• Project Page: https://huggingface.co/papers?q=dense%20linear%20projections
• Github: https://github.com/Jahid12012021/VLM-HeBA

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#VisionLanguageModels #DeepLearning #AIResearch #ModelAdapters #FewShotLearning