Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning
Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task in computer vision and multimedia that plays a crucial role in Intellectual Economy and Industrial Internet applications. However, the absence of a unified open-source software library covering various paradigms in FGIR pose...
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creator | He, Jiabei Shen, Yang Wei, Xiu-Shen Wu, Ye |
description | Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task
in computer vision and multimedia that plays a crucial role in Intellectual
Economy and Industrial Internet applications. However, the absence of a unified
open-source software library covering various paradigms in FGIR poses a
significant challenge for researchers and practitioners in the field. To
address this gap, we present Hawkeye, a PyTorch-based library for FGIR with
deep learning. Hawkeye is designed with a modular architecture, emphasizing
high-quality code and human-readable configuration, providing a comprehensive
solution for FGIR tasks. In Hawkeye, we have implemented 16 state-of-the-art
fine-grained methods, covering 6 different paradigms, enabling users to explore
various approaches for FGIR. To the best of our knowledge, Hawkeye represents
the first open-source PyTorch-based library dedicated to FGIR. It is publicly
available at https://github.com/Hawkeye-FineGrained/Hawkeye/, providing
researchers and practitioners with a powerful tool to advance their research
and development in the field of FGIR. |
doi_str_mv | 10.48550/arxiv.2310.09600 |
format | Article |
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in computer vision and multimedia that plays a crucial role in Intellectual
Economy and Industrial Internet applications. However, the absence of a unified
open-source software library covering various paradigms in FGIR poses a
significant challenge for researchers and practitioners in the field. To
address this gap, we present Hawkeye, a PyTorch-based library for FGIR with
deep learning. Hawkeye is designed with a modular architecture, emphasizing
high-quality code and human-readable configuration, providing a comprehensive
solution for FGIR tasks. In Hawkeye, we have implemented 16 state-of-the-art
fine-grained methods, covering 6 different paradigms, enabling users to explore
various approaches for FGIR. To the best of our knowledge, Hawkeye represents
the first open-source PyTorch-based library dedicated to FGIR. It is publicly
available at https://github.com/Hawkeye-FineGrained/Hawkeye/, providing
researchers and practitioners with a powerful tool to advance their research
and development in the field of FGIR.</description><identifier>DOI: 10.48550/arxiv.2310.09600</identifier><language>eng</language><subject>Computer Science - Computer Vision and Pattern Recognition</subject><creationdate>2023-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2310.09600$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2310.09600$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Jiabei</creatorcontrib><creatorcontrib>Shen, Yang</creatorcontrib><creatorcontrib>Wei, Xiu-Shen</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><title>Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning</title><description>Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task
in computer vision and multimedia that plays a crucial role in Intellectual
Economy and Industrial Internet applications. However, the absence of a unified
open-source software library covering various paradigms in FGIR poses a
significant challenge for researchers and practitioners in the field. To
address this gap, we present Hawkeye, a PyTorch-based library for FGIR with
deep learning. Hawkeye is designed with a modular architecture, emphasizing
high-quality code and human-readable configuration, providing a comprehensive
solution for FGIR tasks. In Hawkeye, we have implemented 16 state-of-the-art
fine-grained methods, covering 6 different paradigms, enabling users to explore
various approaches for FGIR. To the best of our knowledge, Hawkeye represents
the first open-source PyTorch-based library dedicated to FGIR. It is publicly
available at https://github.com/Hawkeye-FineGrained/Hawkeye/, providing
researchers and practitioners with a powerful tool to advance their research
and development in the field of FGIR.</description><subject>Computer Science - Computer Vision and Pattern Recognition</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj71OwzAURr0woMIDMHFfwMWOE8dmqwr9kSKBUMQaXTs3qQV1Krei5O0JhelI3_DpHMbupJjnpijEA6bv8DXP1DQIq4W4Zu8bPH_QSI-wgNexHpLfcYdHaqEKLmEaoRsSrEIkvk44oYXtHnuCN_JDH8MpDBHO4bSDJ6IDVIQphtjfsKsOP490-88Zq1fP9XLDq5f1drmoOOpScCPzvCylQZtZKzN0wunOWGVcbnyrC5uhlla3LmtFobzEslAktXbUmdL6Ts3Y_d_tJaw5pLCflJvfwOYSqH4AM79J8g</recordid><startdate>20231014</startdate><enddate>20231014</enddate><creator>He, Jiabei</creator><creator>Shen, Yang</creator><creator>Wei, Xiu-Shen</creator><creator>Wu, Ye</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20231014</creationdate><title>Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning</title><author>He, Jiabei ; Shen, Yang ; Wei, Xiu-Shen ; Wu, Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-81447718a929912ab0b6f8938b48cd6592a6196db2d053c1a753e166bef879cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Computer Vision and Pattern Recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>He, Jiabei</creatorcontrib><creatorcontrib>Shen, Yang</creatorcontrib><creatorcontrib>Wei, Xiu-Shen</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>He, Jiabei</au><au>Shen, Yang</au><au>Wei, Xiu-Shen</au><au>Wu, Ye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning</atitle><date>2023-10-14</date><risdate>2023</risdate><abstract>Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task
in computer vision and multimedia that plays a crucial role in Intellectual
Economy and Industrial Internet applications. However, the absence of a unified
open-source software library covering various paradigms in FGIR poses a
significant challenge for researchers and practitioners in the field. To
address this gap, we present Hawkeye, a PyTorch-based library for FGIR with
deep learning. Hawkeye is designed with a modular architecture, emphasizing
high-quality code and human-readable configuration, providing a comprehensive
solution for FGIR tasks. In Hawkeye, we have implemented 16 state-of-the-art
fine-grained methods, covering 6 different paradigms, enabling users to explore
various approaches for FGIR. To the best of our knowledge, Hawkeye represents
the first open-source PyTorch-based library dedicated to FGIR. It is publicly
available at https://github.com/Hawkeye-FineGrained/Hawkeye/, providing
researchers and practitioners with a powerful tool to advance their research
and development in the field of FGIR.</abstract><doi>10.48550/arxiv.2310.09600</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computer Vision and Pattern Recognition |
title | Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning |
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