Multi-Scale Convolutions Meet Group Attention for Dense Prediction Tasks

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Multi-Scale Convolutions Meet Group Attention for Dense Prediction Tasks

Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 360-371.

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Bibliografski detalji
Glavni autori:	Vo, Xuan Thuy, Nguyen, Duy Linh, Priadana, Adri, Choi, Jehwan, Hyun Jo, Kang
Format:	Bài viết
Jezik:	English
Izdano:	Springer Nature 2024
Teme:	Multi-Scale Convolutions Meet Group Attention for Dense Prediction Tasks On ImageNet-1K image classification, the proposed method achieves 77.6% Top-1 accuracy at 0.7 GFLOPs, surpassing other methods under similar computational costs
Online pristup:	https://elib.vku.udn.vn/handle/123456789/4293 https://doi.org/10.1007/978-3-031-74127-2_30
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Opis
Sažetak:	Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 360-371.