5 papers
InstructAttribute: Fine-grained Object Attributes editing with Instruction
Xingxi Yin, Jingfeng Zhang, Yue Deng +3
Text-to-image (T2I) diffusion models are widely used in image editing due to their powerful generative capabilities. However, achieving fine-grained control over specific object at…
CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records
Junke Wang, Hongshun Ling, Li Zhang +4
Electronic Health Records (EHR)-based disease prediction models have demonstrated significant clinical value in promoting precision medicine and enabling early intervention. Howeve…
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
GaLore: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao, Shaohui Li, Yuhui Xu +3
Recent low-rank training methods, such as GaLore, have significantly reduced the memory required to optimize large language models (LLMs). However, these methods often suffer from…
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5
Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…