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Russian Doll Network: Learning Nested ...
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由 B Jiang 著作2021被引用 3 次 — This work bridges recent advances in once-for-all (OFA) networks [1] and sample-adaptive dynamic networks. We propose a novel neural architecture dubbed as ...
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Learning Nested Networks for Sample-Adaptive Dynamic ...
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由 B Jiang 著作2021被引用 3 次 — Abstract: This work bridges recent advances in once-for-all (OFA) networks [1] and sample-adaptive dynamic networks. We propose a novel neural architecture ...
Russian Doll Network: Learning Nested ...
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由 B Jiang 著作2021被引用 3 次 — This work bridges recent advances in once-for-all (OFA) networks [1] and sample-adaptive dynamic networks. We propose a novel neural architecture dubbed as ...
Learning Nested Networks for Sample-Adaptive Dynamic ...
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We introduce inference trees (ITs), a new class of inference methods that build on ideas from Monte Carlo tree search to perform adaptive sampling in a manner ...
Learning Nested Networks for Sample-Adaptive Dynamic Inference
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This work proposes a novel neural architecture dubbed as Russian doll network (RDN), satisfying a specific accuracy-complexity tradeoff as a constrained ...
Learning Nested Networks for Sample-Adaptive Dynamic ...
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由 B Jiang 著作2021被引用 3 次 — This work bridges recent advances in once-for-all (OFA) networks [1] and sample-adaptive dynamic networks. We propose a novel neural architecture dubbed as ...
9 頁
Browsing by Author Jiang, Borui
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2021, Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference · Jiang, Borui; Mu, Yadong ; 2023, Video Action Segmentation via ...
Borui Jiang - Google 學術搜尋
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Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. B Jiang, Y Mu. Proceedings of the IEEE/CVF International Conference on ...
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ICCV 2021 Open Access Repository
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由 J Zamora 著作被引用 8 次 — Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. Borui Jiang,. Yadong Mu. [pdf]. [bibtex]. @InProceedings{Jiang_2021_ICCV ...