research
∙
11/05/2020
An analysis of the transfer learning of convolutional neural networks for artistic images
Transfer learning from huge natural image datasets, fine-tuning of deep ...
share
research
∙
09/29/2020
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations
Deep learning methods are widely used for medical applications to assist...
research
∙
08/04/2020
High resolution neural texture synthesis with long range constraints
The field of texture synthesis has witnessed important progresses over t...
research
∙
08/03/2020
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Weakly supervised object detection (WSOD) using only image-level annotat...
research
∙
06/14/2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Autoencoders and generative models produce some of the most spectacular ...
research
∙
08/07/2019
Regression Constraint for an Explainable Cervical Cancer Classifier
This article adresses the problem of automatic squamous cells classifica...
research
∙
04/15/2019
Processsing Simple Geometric Attributes with Autoencoders
Image synthesis is a core problem in modern deep learning, and many rece...
research
∙
04/02/2019
A PCA-like Autoencoder
An autoencoder is a neural network which data projects to and from a low...
research
∙
10/05/2018
