Author

N. Kim

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Preprint Sep 2026

Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models

Large-scale vision-language models (VLM) such as CLIP enable strong open-vocabulary reasoning, yet deploying these capabilities on resource-constrained edge devices remains challenging. EdgeVL addresses this problem by distilling CLIP representations into lightweight multi-modal encoders and applying quantization-aware...

Jinwoo Jeon, GyuYeop Do, Yunkyu Lim et al. · 0 citations

#machine learning Preprint Jul 2026

ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification

Whole slide images (WSIs) provide rich diagnostic information for computational pathology, but their gigapixel scale, stain variation, scanner differences, tissue artifacts, and limited expert annotation make robust model training challenging. This paper presents a multi-source Masked Autoencoder (MAE) framework, named...

Anna Jung, Kyeonghun Kim, Youngung Han et al. · 0 citations