4 papers
FineGen: A VLM-based Multi-Agent Framework for Fine-Grained Image-Text Dataset Construction
Chang Kong, Yuebing Li, Peng Mo +2
The scarcity of hard negative samples in current vision-language datasets significantly hinders fine-grained perception. To address this, we propose FineGen, a VLM-based Multi-Agen…
PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification
Qiuming Luo, Yuebing Li, Feng Li +1
Distilling knowledge from large Vision-Language Models (VLMs) into lightweight networks is crucial yet challenging in Fine-Grained Visual Classification (FGVC), due to the reliance…
FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs
Pengcuo Dege, Qiuming Luo, Rui Mao +1
Efficient inference of Multi-Head Latent Attention (MLA) is challenged by deploying the DeepSeek-R1 671B model on a single Multi-GPU server. This paper introduces FlashMLA-ETAP, a…
Entropy-Aware Structural Alignment for Zero-Shot Handwritten Chinese Character Recognition
Qiuming Luo, Tao Zeng, Feng Li +3
Zero-shot Handwritten Chinese Character Recognition (HCCR) aims to recognize unseen characters by leveraging radical-based semantic compositions. However, existing approaches often…