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Scalable Deep Learning Logo Detection
[article]
2018
arXiv
pre-print
Existing logo detection methods usually consider a small number of logo classes and limited images per class with a strong assumption of requiring tedious object bounding box annotations, therefore not scalable to real-world dynamic applications. In this work, we tackle these challenges by exploring the webly data learning principle without the need for exhaustive manual labelling. Specifically, we propose a novel incremental learning approach, called Scalable Logo Self-co-Learning (SL^2),
arXiv:1803.11417v2
fatcat:znlkivypxfdunm7iu3fmrsondu