Cognizance 发表于 2025-3-25 03:39:06

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234198.jpg

遗留之物 发表于 2025-3-25 10:27:22

Computer Vision – ECCV 2018978-3-030-01258-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

CHANT 发表于 2025-3-25 14:47:45

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时间等 发表于 2025-3-25 16:29:23

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禁止,切断 发表于 2025-3-25 20:44:38

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不自然 发表于 2025-3-26 04:08:57

Sparsely Aggregated Convolutional Networksmonstrate this simple design change offers superior performance with fewer parameters and lower computational requirements. Moreover, we show that sparse aggregation allows networks to scale more robustly to 1000+ layers, thereby opening future avenues for training long-running visual processes.

Definitive 发表于 2025-3-26 05:11:17

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Allege 发表于 2025-3-26 09:36:39

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FIR 发表于 2025-3-26 13:26:28

Cinthia Pestana Haddad,Kai Lehmannll on block towers and tools in both synthetic and real scenarios; we also demonstrate that visual and physical observations often provide complementary signals. We further present ablation and behavioral studies to better understand our model and contrast it with human performance.

Ceramic 发表于 2025-3-26 17:34:10

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查看完整版本: Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw