Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation
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DOI: 10.1109/lsp.2020.3031490
Abstract: In recent years, a large number of quantization schemes have been proposed for compressing convolutional neural networks (CNN). However, most of them have the following problems: 1) when there are outliers in the weight, post-training… read more here.
Keywords: oriented object; outlier aware; quantization; object detection ... See more keywords