Atoms of recognition in human and computer vision
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya, D Harari - 2016 - dspace.mit.edu
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya… - … of the National …, 2016 - … .esploro.exlibrisgroup.com
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
Atoms of recognition in human and computer vision.
S Ullman, L Assif, E Fetaya, D Harari - Proceedings of the National …, 2016 - europepmc.org
Results Discovered MIRCs. Each of the 10 original images was covered by multiple MIRCs
(15.1±7.6 per image, excluding highly overlapping MIRCs)(Methods) at different positions …
(15.1±7.6 per image, excluding highly overlapping MIRCs)(Methods) at different positions …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya, D Harari - Proceedings of the National …, 2016 - cir.nii.ac.jp
抄録< jats: title> Significance</jats: title>< jats: p> Discovering the visual features and
representations used by the brain to recognize objects is a central problem in the study of …
representations used by the brain to recognize objects is a central problem in the study of …
Atoms of recognition in human and computer vision.
S Ullman, L Assif, E Fetaya, D Harari - PNAS Proceedings of the …, 2016 - psycnet.apa.org
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya… - Proceedings of the …, 2016 - weizmann.elsevierpure.com
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
[HTML][HTML] Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya, D Harari - Proceedings of the National …, 2016 - ncbi.nlm.nih.gov
Results Discovered MIRCs. Each of the 10 original images was covered by multiple MIRCs
(15.1±7.6 per image, excluding highly overlapping MIRCs)(Methods) at different positions …
(15.1±7.6 per image, excluding highly overlapping MIRCs)(Methods) at different positions …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya… - … of the National …, 2016 - weizmann.esploro.exlibrisgroup.com
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya, D Harari - … of the National Academy of Sciences …, 2016 - JSTOR
Discovering the visual features and representations used by the brain to recognize objects is
a central problem in the study of vision. Recently, neural network models of visual object …
a central problem in the study of vision. Recently, neural network models of visual object …