GAIN
Object attention framework
A PyTorch implementation of an attention-guided inference network to focus on specific areas of objects in images
Pytorch implementation of paper: Tell Me Where to Look: Guided Attention Inference Network
48 stars
2 watching
18 forks
Language: Python
last commit: over 5 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
| Implementing a deep learning framework for image classification using Residual Attention Network architecture | 682 |
| An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| PyTorch implementation of an explainability technique for deep neural networks | 9 |
| A PyTorch-based neural network training framework with advanced features and utilities | 398 |
| Provides implementations of attention modules for computer vision tasks using PyTorch | 2,076 |
| An open-source project providing a unified interface for training and evaluating classification models using PyTorch. | 1,699 |
| A PyTorch implementation of the Mask R-CNN architecture | 995 |
| A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
| A deep learning framework for semantic segmentation with spatial attention mechanisms | 218 |
| A PyTorch implementation of an attention network for dynamic scene deblurring | 37 |
| A PyTorch implementation of a feature attribution technique using Wasserstein Generative Adversarial Networks for anomaly detection in medical images. | 93 |
| An implementation of a graph classification model using structural attention and PyTorch | 270 |
| A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |