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Self-supervised visual learning in the low-data regime: a comparative evaluation
Self-Supervised Learning (SSL) is a valuable and robust training methodology for contemporary Deep Neural Networks (DNNs), enabling unsupervised pretraining on a `pretext task' that does not require ground-truth labels/annotation.
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement investigations.
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