Attention-Gated-Networks
Attention gate network
An implementation of attention gates in convolutional neural networks for image classification and segmentation tasks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
2k stars
35 watching
425 forks
Language: Python
last commit: almost 6 years agoLinked from 1 awesome list
attention-gatesattention-modelconvolutional-neural-networksimage-classificationimage-segmentation
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A Gluon implementation of Residual Attention Network for image classification tasks | 108 | |
| An implementation of a neural network architecture for document classification using hierarchical attention mechanisms | 87 | |
| An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. | 554 | |
| An image classification neural network implementation using attention mechanisms and residual learning | 94 | |
| An MXNet implementation of a modified deep neural network architecture for image classification | 67 | |
| An implementation of a face attention network for object detection | 315 | |
| A deep learning framework for semantic segmentation with spatial attention mechanisms | 218 | |
| An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 | |
| An implementation of artificial neural networks using NumPy | 98 | |
| A Python implementation of semantic segmentation using adversarial networks | 104 | |
| This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 108 | |
| A PyTorch implementation of an attention-guided inference network to focus on specific areas of objects in images | 48 | |
| A collection of modern neural network architectures for computer vision tasks that don't use self-attention mechanisms. | 77 | |
| A convolutional neural network architecture for biomedical image segmentation | 430 | |
| An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |