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语义推理提高神经网络速度和准确性

💡 原文中文，约500字，阅读约需2分钟。
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内容提要

该文介绍了一种名为语义推理（SINF）的新框架，通过利用潜在表示中的内在冗余来减少计算负担，可以识别物体属于的语义簇并执行与该语义簇相关的子图进行推理。在基准测试中，SINF 可以减少 VGG19、VGG16 和 ResNet50 的推理时间，同时只损失少量精度。

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标签

SINF 基准测试 神经网络 精度 计算负担 语义推理
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