🔷 Effects of Degradations on Deep Neural Network Architectures.
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Updated
Apr 30, 2024 - Python
🔷 Effects of Degradations on Deep Neural Network Architectures.
A KERAS implementation of Multi-Scale Gradient Capsule GAN for Super-Resolution
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition
A collection of deep learning models (PyTorch implemtation)
PyTorch Implementation of Capsule Networks
💊 CapsNets implementation according to the paper: Dynamic Routing Between Capsules - Sara Sabour, Nicholas Frosst, Geoffrey E Hinton
Pytorch Implementation of Capsule Networks
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
A Model combines Xception and Dynamic Routing Layer of CapsNet
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
A Capsule Implement with Pure Keras
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