17 citations · 23 across the 6 of their papers we have counts for
5 papers · 1 filter
BBoxCut: A Targeted Data Augmentation Technique for Enhancing Wheat Head Detection Under Occlusions
Yasashwini Sai Gowri P, Karthik Seemakurthy, Andrews Agyemang Opoku +1
Wheat plays a critical role in global food security, making it one of the most extensively studied crops. Accurate identification and measurement of key characteristics of wheat he…
Domain penalisation for improved Out-of-Distribution Generalisation
Shuvam Jena, Sushmetha Sumathi Rajendran, Karthik Seemakurthy +3
In the field of object detection, domain generalisation (DG) aims to ensure robust performance across diverse and unseen target domains by learning the robust domain-invariant feat…
Autoencoder based approach for the mitigation of spurious correlations
Srinitish Srinivasan, Karthik Seemakurthy
Deep neural networks (DNNs) have exhibited remarkable performance across various tasks, yet their susceptibility to spurious correlations poses a significant challenge for out-of-d…
Optimized Custom Dataset for Efficient Detection of Underwater Trash
Jaskaran Singh Walia, Karthik Seemakurthy
Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface…
Domain Generalisation for Object Detection under Covariate and Concept Shift
Karthik Seemakurthy, Erchan Aptoula, Charles Fox +1
Domain generalisation aims to promote the learning of domain-invariant features while suppressing domain-specific features, so that a model can generalise better to previously unse…