Actualités

IEEE4 a
Attention Guided Encoder-Decoder Network With Multi-Scale Context Aggregation for Land Cover Segmentation - IEEE Xplore
To overcome these limitations, we proposed an attention guided encoder-decoder network with multi-scale context aggregation to achieve more accurate segmentation of land cover. Based on the structure ...
GitHub1 a
Tekraj15/Encoder-Decoder-Neural-Network - GitHub
The encoder encodes the input sequence into a context vector, and the decoder uses this context to generate the output sequence. For example, in machine translation: Encoder: The input sentence ...
Frontiers1 a
Rethinking 1D convolution for lightweight semantic segmentation
We designed a 1D-mixer encoder based on the transformer structure. ... “LEDNet: A lightweight encoder-decoder network for real-time semantic segmentation,” in Proceedings of the 2019 IEEE ...
IEEE5 a
EDRNet: Encoder–Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects - IEEE Xplore
In the encoder stage, we use a fully convolutional neural network to extract rich multilevel defect features and fuse the attention mechanism to accelerate the convergence of the model. Then in the ...
GitHub3 a
Are-All-Shortcuts-in-Encoder-Decoder-Networks-Necessary-for-Computed-Tomography-Denoising- - GitHub
We used tfrecord as the input file of our encoder-decoder network, therefore, we need make tfrecord based on paired noised and standard images at first. This part of job was finsihed by using ...
Frontiers3 a
Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design - Frontiers
The decoder network models a conditional probability of the output sequence based on the prior information ... Singha M, Srivastava G, Pu L, Ramanujam J and Brylinski M (2022) Pocket2Drug: An ...