To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...

Abstract: Nowadays, as the demand for accurate object detection (OD) applications is increasing, several attempts have been made to introduce convolutional neural network (CNN)-based super-resolution ...