Abstract: With the advancement of infrared technology, infrared small target detection plays a crucial role in precise guidance and warning systems, attracting widespread attention from researchers.

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.

Recursion Pharmaceuticals (RXRX) just delivered encouraging Phase 1b/2 TUPELO data for its FAP drug candidate REC-4881, and that clinical update has quickly reshaped how both Wall Street and ...

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 ...