2 citations · 2 across the 2 of their papers we have counts for
7 papers
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves +3
Convolutional neural networks often generate multiple logits and use simple techniques like addition or averaging for loss computation. But this allows gradients to be distributed…
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti Dey, Soham Das, Swarnendu Ghosh +3
One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data. This makes it difficult for deep learning algorithms to perform well…
Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh, Nibaran Das, Ishita Das +1
The machine learning community has been overwhelmed by a plethora of deep learning based approaches. Many challenging computer vision tasks such as detection, localization, recogni…
Using dynamic routing to extract intermediate features for developing scalable capsule networks
Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel +2
Capsule networks have gained a lot of popularity in short time due to its unique approach to model equivariant class specific properties as capsules from images. However the dynami…
Handwritten Indic Character Recognition using Capsule Networks
Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh +2
Convolutional neural networks(CNNs) has become one of the primary algorithms for various computer vision tasks. Handwritten character recognition is a typical example of such task…
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling
Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel +3
Modern deep learning algorithms have triggered various image segmentation approaches. However most of them deal with pixel based segmentation. However, superpixels provide a certai…