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Lecture Notes in Computer Science
Despite the remarkable success of Convolutional Neural Networks (CNNs) on generalized visual tasks, high computational and memory costs restrict their comprehensive applications on consumer electronics (e.g., portable or smart wearable devices). Recent advancements in binarized networks have demonstrated progress on reducing computational and memory costs, however, they suffer from significant performance degradation comparing to their full-precision counterparts. Thus, a highly-economical yetdoi:10.1007/978-3-030-01216-8_20 fatcat:xwtyu4v2cnfo5evuwgzlyrruqm