Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
Abstract: This study addresses the challenge of large-scale land cover mapping using advanced deep learning models. While state-of-the-art deep learning methods have demonstrated promising results in ...
Abstract: Despite simpler architectural designs compared with vision transformers (ViTs) and convolutional neural networks, vision multilayer perceptrons (MLPs) have demonstrated strong performance ...
Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...
The memristor-based convolutional neural network (CNN) gives full play to the advantages of memristive devices, such as low power consumption, high integration density, and strong network recognition ...
demo.py is a demo script that shows how to run different methods. In our implementation, each method corresponds to a class, eg, ClassNSeg(). Since different methods usually need different environment ...
Suppose you have a collection of digital photos you took on a trip to a zoo. You want to programmatically classify each photo as one of the 100 different kinds of animals you photographed: "aardvark," ...
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