11 citations · 16 across the 6 of their papers we have counts for
6 papers
Augmentations: An Insight into their Effectiveness on Convolution Neural Networks
Sabeesh Ethiraj, Bharath Kumar Bolla
Augmentations are the key factor in determining the performance of any neural network as they provide a model with a critical edge in boosting its performance. Their ability to boo…
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models
Sabeesh Ethiraj, Bharath Kumar Bolla
Deep Learning has revolutionized the fields of computer vision, natural language understanding, speech recognition, information retrieval and more. Many techniques have evolved ove…
Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep Learning
Sabeesh Ethiraj, Bharath Kumar Bolla
In this paper, the fourth version the Sloan Digital Sky Survey (SDSS-4), Data Release 16 dataset was used to classify the SDSS dataset into galaxies, stars, and quasars using machi…
Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks
Sabeesh Ethiraj, Bharath Kumar Bolla
The SDSS-IV dataset contains information about various astronomical bodies such as Galaxies, Stars, and Quasars captured by observatories. Inspired by our work on deep multimodal l…
Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks
Prathima Dileep, Bharath Kumar Bolla, Sabeesh Ethiraj
Facial landmark detection is a widely researched field of deep learning as this has a wide range of applications in many fields. These key points are distinguishing characteristic…
Efficient Deep Learning Methods for Identification of Defective Casting Products
Bharath Kumar Bolla, Mohan Kingam, Sabeesh Ethiraj
Quality inspection has become crucial in any large-scale manufacturing industry recently. In order to reduce human error, it has become imperative to use efficient and low computat…