research
∙
04/23/2021
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
Convolutional neural networks often generate multiple logits and use sim...
share
research
∙
03/12/2020
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
One of the most challenging aspects of medical image analysis is the lac...
research
∙
07/13/2019
Understanding Deep Learning Techniques for Image Segmentation
The machine learning community has been overwhelmed by a plethora of dee...
research
∙
07/13/2019
Using dynamic routing to extract intermediate features for developing scalable capsule networks
Capsule networks have gained a lot of popularity in short time due to it...
research
∙
01/01/2019
Handwritten Indic Character Recognition using Capsule Networks
Convolutional neural networks(CNNs) has become one of the primary algori...
research
∙
03/14/2018
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling
Modern deep learning algorithms have triggered various image segmentatio...
research
∙
01/05/2018
