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Enhancing the network architecture of the YOLO framework has been crucial for a long time, but has focused on CNN-based improvements despite the proven superiority of attention mechanisms in modeling capabilities.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
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J Redmon · 2016
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Joseph Redmon and Ali Farhadi · 2017
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mixup: Beyond empirical risk minimization
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao · 2020
Earlier work this paper cites.
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Alexander Buslaev, Vladimir I Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A Kalinin · 2020
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Alexey Dosovitskiy · 2020
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Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L Yuille, and Wei Shen · 2021
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Daniel Bogdoll, Maximilian Nitsche, and J Marius Zöllner · 2022
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Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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Masked autoencoders are scalable vision learners
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Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
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A ranking-based, balanced loss function unifying classification and localisation in object detection
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Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R Scott, and Weilin Huang · 2021
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Yolo-ms: rethinking multi-scale representation learning for real-time object detection
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Detrs beat yolos on real-time object detection
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