82 citations · 88 across the 3 of their papers we have counts for
3 papers · 1 filter
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija +4
There exists a distribution discrepancy between training and testing, in the way images are fed to modern CNNs. Recent work tried to bridge this gap either by fine-tuning or re-tra…
Self-Supervised Features Improve Open-World Learning
Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan +3
This paper identifies the flaws in existing open-world learning approaches and attempts to provide a complete picture in the form of \textbf{True Open-World Learning}. We accomplis…
Reducing Network Agnostophobia
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Agnostophobia, the fear of the unknown, can be experienced by deep learning engineers while applying their networks to real-world applications. Unfortunately, network behavior is n…