Specifically, our network includes an encoder stage for extracting features from input ... purification of informative features through sufficient feature learning; and a decoder stage for effective ...

Motivated by the three-blade symmetrical structure of WTs, we propose a new symmetry-aware pitch feature encoder-decoder network named PitchNet. A group feature encoding strategy is first designed to ...

The MAN_CODEC IP Core is a versatile encoder and decoder pair that converts a basic NRZ bitstream into a standard Manchester code and vice-versa. The encoder and decoder are provided as separate IP ...

This new framework processes images in an end-to-end manner and executes 3D computation on both the encoder side (which contains a 3D transformer) and the decoder side (which ... segmentation and the ...

By incorporating the attention mechanism into UNet, EPick can address different levels of deep features, and the decoder ... truth first P and first S picks for EPick and UNet, respectively. In ...

This is a PyTorch implementation of the Transformer model in the paper Attention is All You Need (Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser ...