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Aug, 2021
NASOA:使用众多的模型快速进行任务导向的在线微调
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
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Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang...
TL;DR
提出了一种名为NASOA的框架,该框架采用联合神经体系结构搜索和在线适应方法,以快速满足用户要求的任务定向微调。 实验表明,NASOA在多个数据集上取得了比现有方法更好的表现,并且最终模型比SOTA模型更加高效。
Abstract
fine-tuning
from pre-trained ImageNet models has been a simple, effective, and popular approach for various
computer vision
tasks. The common practice of
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