activity
20162020
most citedUsing dynamic routing to extract intermediate features for developing scalable capsule networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition

Animesh Singh, Ritesh Sarkhel, Nibaran Das +2

Finding local invariant patterns in handwrit-ten characters and/or digits for optical character recognition is a difficult task. Variations in writing styles from one person to ano…

cs.CV2019

A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network

Animesh Singh, Sandip Saha, Ritesh Sarkhel +3

Deep neural network-based architectures give promising results in various domains including pattern recognition. Finding the optimal combination of the hyper-parameters of such a l…

cs.CV20192 cited

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…

cs.CV2019

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…

cs.CV2016

An Enhanced Harmony Search Method for Bangla Handwritten Character Recognition Using Region Sampling

Ritesh Sarkhel, Amit K Saha, Nibaran Das

Identification of minimum number of local regions of a handwritten character image, containing well-defined discriminating features which are sufficient for a minimal but complete…