7 citations · 17 across the 7 of their papers we have counts for
7 papers
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting
Shubham Gupta, Rahul Kunigal Ravishankar, Madhoolika Gangaraju +2
Image inpainting is the process of regenerating lost parts of the image. Supervised algorithm-based methods have shown excellent results but have two significant drawbacks. They do…
Decentralized Digital Currency System using Merkle Hash Trees
Shreekanth M Prabhu, Natarajan Subramanyam, Ms. Shreya P Krishnan +1
In India, post the demonetization exercise in 2016, digital payments have become extremely popular. Among them, the volume of transactions using Paytm wallets and UPI (Unified Paym…
Analysis of Indian Agricultural Ecosystem using Knowledge-based Tantra Framework
Shreekanth M Prabhu, Natarajan Subramanyam
The information systems have been extremely useful in managing businesses, enterprises, and public institutions such as government departments. But current challenges are increasin…
Robustness to Augmentations as a Generalization metric
Sumukh Aithal K, Dhruva Kashyap, Natarajan Subramanyam
Generalization is the ability of a model to predict on unseen domains and is a fundamental task in machine learning. Several generalization bounds, both theoretical and empirical h…
Graph Based Temporal Aggregation for Video Retrieval
Arvind Srinivasan, Aprameya Bharadwaj, Aveek Saha +1
Large scale video retrieval is a field of study with a lot of ongoing research. Most of the work in the field is on video retrieval through text queries using techniques such as VS…
Surveillance of COVID-19 Pandemic using Hidden Markov Model
Shreekanth M. Prabhu, Natarajan Subramaniam
COVID-19 pandemic has brought the whole world to a stand-still over the last few months. In particular the pace at which pandemic has spread has taken everybody off-guard. The Gove…
Transfer Learning using Neural Ordinary Differential Equations
Rajath S, Sumukh Aithal K, Natarajan Subramanyam
A concept of using Neural Ordinary Differential Equations(NODE) for Transfer Learning has been introduced. In this paper we use the EfficientNets to explore transfer learning on CI…