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In this paper, we propose a deep architecture for semantic segmentation from scratch based on an asymmetry encoder- decoder architecture using Ghost-Net and U-Net which we have called it Ghost-UNet.
The architecture of the SW-UNet model is based on the encoder-decoder structure of U-Net. Initially, the input image F ∈ RC×H×W undergoes a 3 × 3 convolution operation, followed by three consecutive ...
But scalability issues of self-attention mechanism and lack of the CNN like inductive bias have limited their adoption. In this work, we present MaxViT-UNet, an Encoder-Decoder based hybrid vision ...
In this article we introduce a new Serial Genetic Algorithm Decoder (SGAD) LDPC codes. In effect, a comparison with sum-product decoder, which is currently the most successful algorithm for LDPC, ...
EViT-UNet is built on a U-shaped architecture, comprising an encoder, decoder, bottleneck layer, and skip connections, combining convolutional operations with self-attention mechanisms to optimize ...
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