supported by National High-tech R&D Program of China (863 Program) (Grant No. 2015AA016403);National Natural Science Foundation of China (Grant Nos. 61572061, 61472020)
In recent years, convolutional neural networks (CNNs) are leading the way in many computer vision tasks, such as image classification, object detection, and face recognition. In order to produce more refined semanti...
supported by the National Basic Research Development Program of China ( 2013CB329401);National High Technology Development Program (863 Program) of China (2015AA020505);the National Natural Science Foundation of China (91120013, 6 1375115, 3 1300912, and 31100797);the 111 Project (B12027);F undamental Research Funds for the C entral Universities of China (Z YGX2013J098)
A sensory stimulus can only be properly interpreted in light of the stimuli that surround it in space and time. The tilt illusion (TI) and tilt after-effect (TAE) provide good evidence that the perception of a tar...