1 citations · 1 across the 1 of their papers we have counts for
3 papers
Recurrent Feedback Improves Recognition of Partially Occluded Objects
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
Recurrent connectivity in the visual cortex is believed to aid object recognition for challenging conditions such as occlusion. Here we investigate if and how artificial neural net…
Recurrent Connectivity Aids Recognition of Partly Occluded Objects
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
Feedforward convolutional neural networks are the prevalent model of core object recognition. For challenging conditions, such as occlusion, neuroscientists believe that the recurr…
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
Recurrent connections in the visual cortex are thought to aid object recognition when part of the stimulus is occluded. Here we investigate if and how recurrent connections in arti…