Learning enhanced features and inferring twice for fine-grained image classification
CC BY
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2023
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Truy cập trực tuyến: | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7359 |
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oai:localhost:PNK-73592023-03-31T01:45:04Z Learning enhanced features and inferring twice for fine-grained image classification Xuan, Nie Bosong, Chai Luyao, Wang FGVC Learning enhanced features CC BY Fine-Grained Visual Categorization (FGVC) aims to distinguish between extremely similar subordinate-level categories within the same basic-level category. Existing research has proven the great importance of the discriminative features in FGVC but ignored the contributions for correct classification from other features, and the extracted features always contain more information about the obvious regions but less about subtle regions. In this paper, firstly, a novel module named forcing module is proposed to force the network to extract more diverse features for FGVC, which generates a suppression mask based on the class activation maps to suppress the most distinguishable regions, so as to force the network to extract other secondary distinguishable features as the final features. 2023-03-31T01:45:04Z 2023-03-31T01:45:04Z 2023 Book Learning enhanced features and inferring twice for fine-grained image classification https://dlib.phenikaa-uni.edu.vn/handle/PNK/7359 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
FGVC Learning enhanced features |
spellingShingle |
FGVC Learning enhanced features Xuan, Nie Bosong, Chai Luyao, Wang Learning enhanced features and inferring twice for fine-grained image classification |
description |
CC BY |
format |
Book |
author |
Xuan, Nie Bosong, Chai Luyao, Wang |
author_facet |
Xuan, Nie Bosong, Chai Luyao, Wang |
author_sort |
Xuan, Nie |
title |
Learning enhanced features and inferring twice for fine-grained image classification |
title_short |
Learning enhanced features and inferring twice for fine-grained image classification |
title_full |
Learning enhanced features and inferring twice for fine-grained image classification |
title_fullStr |
Learning enhanced features and inferring twice for fine-grained image classification |
title_full_unstemmed |
Learning enhanced features and inferring twice for fine-grained image classification |
title_sort |
learning enhanced features and inferring twice for fine-grained image classification |
publisher |
Springer |
publishDate |
2023 |
url |
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7359 |
_version_ |
1761912524044763136 |
score |
8.891787 |