Predictive Coding with Context as a Model of Image Saliency Map

作者: Duzhen Zhang , Chuancai Liu

DOI: 10.1007/978-3-642-37835-5_2

关键词:

摘要: Predictive coding/biased competition (PC/BC) is a computational model of primary visual cortex (V1). Recent literature demonstrates that PC/BC provides an implementation the V1 bottom-up saliency map hypothesis. In this paper, we propose novel approach toward natural color images detection via with top-down cortical feedback as context. We compare our method five state-of-the-art models detectors. Experimental results show performs competitively for task.

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