
A New Look for Convolutional Deep Networks | Next-generation neural computations
By construction, deep convolutional networks treat all pixels equally. Result: they are energy-hungry, fragile to rotations or zooms, and poor at object localization. This contrasts sharply with biological vision, which demonstrates remarkable efficiency. Think of an eagle spotting prey from kilometers away or a human recognizing a face within an eye blink time. We propose that by using a mechanism concentrating processing at the center of gaze, biological vision is optimally suited for object β¦