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cs.CV2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz, Steve Cruz, Walter Scheirer +1
Handling novelty remains a key challenge in visual recognition systems. Existing open-set recognition (OSR) methods rely on the familiarity hypothesis, detecting novelty by the abs…
cs.CV2025
GHOST: Gaussian Hypothesis Open-Set Technique
Ryan Rabinowitz, Steve Cruz, Manuel Günther +1
Evaluations of large-scale recognition methods typically focus on overall performance. While this approach is common, it often fails to provide insights into performance across ind…
cs.CV2022
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…