Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism. nlp natural-language-processing ...

Finally, the decoder network learns the mapping from low-resolution feature maps to pixel-wise predictions for image tamper localization. With the predicted mask provided by the final layer (softmax) ...

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons ...

The segmentation of diversified roads and buildings from high-resolution aerial images is essential for various applications, such as urban planning, disaster assessment, traffic congestion management ...

The Mu small language model enables an AI agent to take action on hundreds of system settings. It’s now in preview for some ...

Such a capability is essential to making AI-based surrogate models practically useful. While simple feedforward networks are used for one-dimensional (1D) Poisson equation, an encoder-decoder ...

Microsoft recently announced Mu, a new small language model designed to integrate with the Windows 11 UI experience. Mu will ...

natural-language-processing computer-vision pytorch seq2seq-model encoder-decoder-model visual-question-answering graph-neural-networks pytorch-implementation pytorch-geometric ...