3 papers
cs.CV2025
Alternating Training-based Label Smoothing Enhances Prompt Generalization
Yang Chen, Yanbin Wei, Ke Jin +3
Recent advances in pre-trained vision-language models have demonstrated remarkable zero-shot generalization capabilities. To further enhance these models' adaptability to various d…
cs.CV2025
Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
Tuo Liu, Qinghan Yang, Yu Zhang +3
Left ventricular (LV) indicator measurements following clinical echocardiog-raphy guidelines are important for diagnosing cardiovascular disease. Alt-hough existing algorithms have…
cs.CV2024
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
Yang Chen, Shuai Fu, Yu Zhang
Soft prompt learning methods are effective for adapting vision-language models (VLMs) to downstream tasks. Nevertheless, empirical evidence reveals a tendency of existing methods t…