In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention ... and multi-scale information is aggregated through top attention module to prevent the loss of crucial ...

The AMS-MLP includes an encoder, an Adaptive Multi-Scale MLP (AM-MLP) module, and a decoder. The encoder’s MPAM fuses five-scale features for accurate boundary extraction. The AM-MLP splits features ...

"Using a similar type of algorithm, we found that we could decode neural data and ... data through a neural encoder and then using a deep learning recurrent neural network transducer model to convert ...

Specifically, our network includes an encoder stage for extracting features from input underwater images with channel, spatial, and patch attention modules to emphasize degraded ... sufficient feature ...

It is a 16-state double-binary turbo encoder. On the receiver side, the turbo decoder engine is built using two functioning soft-in/soft-out modules (SISO). The outputs of one SISO, after applying the ...

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types ...