SiMaN : Sign-to-Magnitude Network Binarization
Binary neural networks (BNNs) have attracted broad research interest due to their efficient storage and computational ability. Nevertheless, a significant challenge of BNNs lies in handling discrete constraints while ensuring bit entropy maximization, which typically makes their weight optimization...
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Détails bibliographiques
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 5 vom: 10. Mai, Seite 6277-6288
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Auteur principal: |
Lin, Mingbao
(Auteur) |
Autres auteurs: |
Ji, Rongrong,
Xu, Zihan,
Zhang, Baochang,
Chao, Fei,
Lin, Chia-Wen,
Shao, Ling |
Format: | Article en ligne
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Langue: | English |
Publié: |
2023
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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Sujets: | Journal Article |