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Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
Recently, deep convolutional neural networks (CNNs) have achieved many eye-catching results.
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations
Our test results show that the proposed methods effectively reduce 2. 91x~5. 97x memory access with negligible accuracy drop on MobileNetV2/ResNet18/VGG16.
Intelligent Traffic Control System by Using Image Information
This paper implements a traffic signal control system by using real-time traffic flow feedback.
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