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8: Thus RBC theory claims that certain properties of the --- image are taken by rhe visual system as strong evidence that the edges in the --- world contain the same properties.
2D
3D
8: The essential non-accidental properties of the generalized-cone components are:
8: Prosopagnosia is a neuropsychological disorder in whch the patiant
cannot identify faces, but can recognize other types of objects
8: A study of cells in IT cortex of ahuman patien showed that they responded to very specific stimuli, such as ---.
celebrities
8: Which is a loosely defined stage of visual processing that comes after basic features have been extracted from the image, and before object recognition and scene understanding?
Mid-level-vision
8: Which is a subordinate level category term?
Limousine
8: Which is a superordinate level category term?
Vehicle
8: Tarr and his colleagues found that the amount of time needed to recognize novel objects is at least partially determined by
the degree to which the object is rotated from ist studied view
8: Viewpoint invariance refers to the idea that
objects schould be just as easy to recognize from any viewpoint
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for ---
hierarchical modular optimization
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.
The HMO model belongs in the larger class of --- models, standing for --- model.
DNN
deep neural network
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.
The HMO model's essential architectural characteristic is its --- : There are, for example, many --- connections and different parameter ---.
heteroogeneity
bypass
settings even at the same level
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.
---, the basic operations performed locally are --- troughout the network.
However
the same
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.
In the Yamins et al. (2014) article they report a large-scale modelling effort, evaluating around ---. Yamins et al. compared their models both to the response of cells in IT cortex (roughly N = --- cells) as well as on how well the models categorized a set of images (roughly N = --- images). One central finding was that models optimized for --- were also superior at --- .
5000DNN architectures
300 oder 100
6.000
categorization performance
explaining variance in IT
8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.
In order to obtain a categorization performance from the HMO model, a --- decoder was --- the activity of units at the --- level(s) of the HMO network. Using such a procedure, the HMO model's performance was --- than that of --- models of object recognition on the difficult --- variation task.
linear
trained on
highest
better
both computer vision and neuronally inspired
high