Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images

29 Nov 2014 Stefan Mathe Cristian Sminchisescu

State-of-the-art visual recognition and detection systems increasingly rely on large amounts of training data and complex classifiers. Therefore it becomes increasingly expensive both to manually annotate datasets and to keep running times at levels acceptable for practical applications... (read more)

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