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eBook Classifiers: A Closer Look - Student Workbook (Classifiers: A Closer Look, Unit 2) download ISBN: 1932501207
Publisher: Treehouse Video LLC (2002)
Language: English
ePub: 1725 kb
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Computer Science Computer Vision and Pattern Recognition. Title:A Closer Look at Few-shot Classification. Authors:Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang. Submitted on 8 Apr 2019). Abstract: Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples. While significant progress has been made, the growing complexity of network designs, meta-learning algorithms, and differences in implementation details make a fair comparison difficult.

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Items related to Classifiers: A Closer Look - Student Workbook (Unit. Patricia Lessard Classifiers: A Closer Look - Student Workbook (Unit 1). ISBN 13: 9781932501193. Classifiers: A Closer Look - Student Workbook (Unit 1). Patricia Lessard. If it is added to AbeBooks by one of our member booksellers, we will notify you! Create a Want.

source code to ICLR'19, 'A Closer Look at Few-shot Classification'. We show that a baseline method with a distance-based classifier surprisingly achieves competitive performance with the state-of-the-art meta-learning methods on both mini-ImageNet and CUB datasets. We investigate a practical evaluation setting where base and novel classes are sampled from different domains.

Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples

Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples.

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