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Article
Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image
Depth estimation from a single RGB image with sparse depth measurements has already been proved to be an effective way of predicting dense and high-precision depth maps. However, most of its networks are based...
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Chapter and Conference Paper
Towards Accurate Network Quantization with Equivalent Smooth Regularizer
Neural network quantization techniques have been a prevailing way to reduce the inference time and storage cost of full-precision models for mobile devices. However, they still suffer from accuracy degradation...