震惊 发表于 2025-3-28 15:01:21

Conference proceedings 2021Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes..In this volume, the papers focus on topics such as computer visi

Nausea 发表于 2025-3-28 18:46:21

0302-9743 g, explainable methods, few-shot learning and generative adversarial networks. . .*The conference was held online 2021 due to the COVID-19 pandemic..978-3-030-86339-5978-3-030-86340-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

Infinitesimal 发表于 2025-3-29 01:41:46

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Licentious 发表于 2025-3-29 03:49:24

Entwicklungstendenzen und Ausblick,plemented in the standard training and inference phases to boost the fined-grained classification accuracy. Our experimental results on extensive FGVC benchmark datasets show that the baseline model such as ResNeXt-50 can achieve competitive state-of-the-art performance by utilizing the proposed ROI-based-DAM, which demonstrate its effectiveness.

有斑点 发表于 2025-3-29 08:05:05

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PAGAN 发表于 2025-3-29 15:22:51

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Exhilarate 发表于 2025-3-29 19:05:45

Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classificationplemented in the standard training and inference phases to boost the fined-grained classification accuracy. Our experimental results on extensive FGVC benchmark datasets show that the baseline model such as ResNeXt-50 can achieve competitive state-of-the-art performance by utilizing the proposed ROI-based-DAM, which demonstrate its effectiveness.

虚弱的神经 发表于 2025-3-29 21:40:22

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百科全书 发表于 2025-3-30 01:45:30

0302-9743 erence on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes..In this volume, the papers focus on topics such as com

RAG 发表于 2025-3-30 06:38:18

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查看完整版本: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2021; 30th International C Igor Farkaš,Paolo Masulli,Stefan Wermter Conference proc