Current multi-object tracking and segmentation (MOTS) methods follow the tracking-by-detection paradigm and adopt 2D or 3D convolutions to extract instance embeddings for instance association. Howe…
Knowledge transfer (KT) plays a key role in multitask optimization. However, most of the existing KT methods still face two challenges. First, the tasks may commonly have different dimensionalities…
This paper tackles the problem of training a deep convolutional neural network of both low-bitwidth weights and activations. Optimizing a low-precision network is very challenging due to the non-di…
A parameter optimization model of amplified spontaneous emission (ASE) source in space radiation environment has been developed based on the ASE source model and the radiation-induced attenuation (…
Radio frequency (RF) repeaters are often used in satellite communication, wireless wideband communication, and electronic warfare systems for signal receiving, forwarding, and processing. Due to fr…