In this paper, we propose a novel convolutional encoder-decoder network with skip connections, named CEDNS, to improve the performance of saliency prediction. The encoder network utilizes the DenseNet ...

We propose a new semantic segmentation method and the necessity of certainty for practical use of semantic segmentation in scene understanding. We implement a deep fully convolutional encoder-decoder ...

Convolutional Encoder–Decoder Network. A convolutional encoder–decoder network is a standard network used for tasks requiring dense pixel-wise predictions like semantic segmentation (Badrinarayanan et ...

For training, download the version of Fairseq-py In the training/ directory, within the preprocess.sh script, place paths to the the training datasets and development datasets. The source and target ...

Keywords: semantic segmentation, lightweight network, dynamic convolution, encoder-decoder, multi-dimension convolution. Citation: Zhang C, Xu F, Wu C and Xu C (2022) A lightweight multi-dimension ...