✨VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
📝 Summary:
VisionTrim accelerates MLLMs by selecting dominant visual tokens and merging them with text guidance. This training-free framework improves efficiency without performance loss, addressing high computational costs from excessive visual data.
🔹 Publication Date: Published on Jan 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.22674
• PDF: https://arxiv.org/pdf/2601.22674
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MLLM #VisionTokenCompression #ModelAcceleration #DeepLearning #TrainingFree
📝 Summary:
VisionTrim accelerates MLLMs by selecting dominant visual tokens and merging them with text guidance. This training-free framework improves efficiency without performance loss, addressing high computational costs from excessive visual data.
🔹 Publication Date: Published on Jan 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.22674
• PDF: https://arxiv.org/pdf/2601.22674
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MLLM #VisionTokenCompression #ModelAcceleration #DeepLearning #TrainingFree