VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
Paper • 2603.23495 • Published • 3
Adrian Bulat
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VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions authored a paper 1 day ago
Tensor Dropout for Robust Learning authored a paper 1 day ago
Pre-training strategies and datasets for facial representation learningOrganizations
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upvoted a paper about 21 hours ago
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Tensor Dropout for Robust Learning
Paper • 1902.10758 • Published
Pre-training strategies and datasets for facial representation learning
Paper • 2103.16554 • Published
Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene Descriptions
Paper • 2509.19203 • Published
VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
Paper • 2603.23495 • Published • 3
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How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
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Black Box Few-Shot Adaptation for Vision-Language models
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You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
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Bayesian Prompt Learning for Image-Language Model Generalization
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CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
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Discriminative Fine-tuning of LVLMs
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