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题目:星系形态分类研究介绍
主讲人:巴朔
地点:腾讯会议
时间:2022-1-8 晚上9点40
简介:1)介绍ResNet50、DenseNet121和EfficientNet B0在星系分类上的表现
2) 介绍The Galaxy Zoo DeCals数据集
3)介绍显着性映射(Saliency Mapping)在星系分类任务中的作用
参考文献:
[1] Ezra. Fielding ,Clement N. Nyirenda, Mattia. Vaccari , “A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification” [J]. 2021. arXiv:2111.04353v1 [cs.LG]
[2] Prabh.Bhambra, Benjamin.Joachimi, Ofer.Lahav, “Explaining deep learning of galaxy morphology with saliency mapping: Cross-view Gait Recognition through Utilizing Gait as a Deep Set”[J]. 2021. arXiv:2110.08288 [astro-ph.IM]
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