Abstract:Representation invariance plays a significant role in the performance of deep convolutional neural networks (CNNs) and human visual information processing in various complicated image-based tasks. However, there has been abounding confusion concerning the representation invariance mechanisms of the two sophisticated systems. To investigate their relationship under common conditions, we proposed a representation invariance analysis approach based on data augmentation technology. Firstly, the original image libr… Show more
“…Thus, representation invariance plays a typical role in CNN and human visual processing information under complicated image-based tasks. To investigate this relationship between CNNs and the human visual system, Cui et al [ 4 ] explored the representation invariances of CNNs and the ventral visual stream by comparing features from the layers of CNNs and the prediction performance of visual encoding models. This novel study untangled the importance of invariant representation of computer vision and the deeper conception of the representation invariant mechanism of the human visual information processing.…”
It is paramount for every neuroscientist to understand the nature of emerging technologies and approaches in investigating functional brain dynamics [...]
“…Thus, representation invariance plays a typical role in CNN and human visual processing information under complicated image-based tasks. To investigate this relationship between CNNs and the human visual system, Cui et al [ 4 ] explored the representation invariances of CNNs and the ventral visual stream by comparing features from the layers of CNNs and the prediction performance of visual encoding models. This novel study untangled the importance of invariant representation of computer vision and the deeper conception of the representation invariant mechanism of the human visual information processing.…”
It is paramount for every neuroscientist to understand the nature of emerging technologies and approaches in investigating functional brain dynamics [...]
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