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发表于 2025-3-25 04:17:23
https://doi.org/10.1007/978-3-030-11726-9uced by up to 80% compared to that of the original size with only a 11% degradation at worst performance in our final lightweight detector model for image matching tasks. Our study indicates that the modern convolution techniques originally proposed for small image classification models can be effec
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发表于 2025-3-25 08:11:57
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发表于 2025-3-25 13:55:31
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发表于 2025-3-25 19:39:22
Designing Lightweight Feature Descriptor Networks with Depthwise Separable Convolution,978-3-8348-2085-3
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发表于 2025-3-26 02:36:27
2194-5357 n additional to artificial intelligence. We are extremely pleased to publish this collection of papers as the research results of our international sessions.978-3-030-73112-0978-3-030-73113-7Series ISSN 2194-5357 Series E-ISSN 2194-5365
DEMUR
发表于 2025-3-26 04:33:23
Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network,design intricacies and considerations. Its audience includes undergraduate and graduate students with a specific interest in RF/optoelectronic receiver technology, along with researchers and engineers engaged i978-981-97-0883-3978-981-97-0881-9
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发表于 2025-3-26 12:12:23
A Node Classification Approach for Dynamically Extracting the Structures of Online Discussions,ranging from 1 μm to full wafer thickness (725 μm), in-plane sizes spanning from nanometers to centimeters, ratios between etch depth and feature width reaching up to 70:1 – that is what high Aspect Ratio (AR) means. The silicon patterning must be anisotropic to guarantee a tight CD control, perpend
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发表于 2025-3-26 15:45:59
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发表于 2025-3-26 19:03:02
On the Legal Revision in PROLEG Program,eptible cultivars to the same level as those that have complete genetic resistance. The application of silicon has value for inclusion in an integrated disease management strategy since this often overlooked, quasi-essential element clearly has the potential to reduced plant disease epidemics.