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: over 4 years ago
Linked from 1 awesome list
attention-gatesattention-modelconvolutional-neural-networksimage-classificationimage-segmentation
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |
 tqtg/hierarchical-attention-networks | An implementation of a neural network architecture for document classification using hierarchical attention mechanisms | 87 |
 fwang91/residual-attention-network | An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. | 554 |
 koichiro11/residual-attention-network | An image classification neural network implementation using attention mechanisms and residual learning | 94 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
 rainofmine/face_attention_network | An implementation of a face attention network for object detection | 315 |
 hszhao/psanet | A deep learning framework for semantic segmentation with spatial attention mechanisms | 218 |
 benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
 ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |
 oyam/semantic-segmentation-using-adversarial-networks | A Python implementation of semantic segmentation using adversarial networks | 104 |
 zcyang/imageqa-san | This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 108 |
 ngxbac/gain | A PyTorch implementation of an attention-guided inference network to focus on specific areas of objects in images | 48 |
 focalnet/networks-beyond-attention | A collection of modern neural network architectures for computer vision tasks that don't use self-attention mechanisms. | 77 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 430 |
 javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |