This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

This article examines recent data on efficiency and power usage for hardware and software decoding and explores how this data shapes the value proposition for publishers opting for software decoding ...

To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related ...