9 citations · 28 across the 8 of their papers we have counts for
8 papers
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Valerio Biscione, Milton L. Montero, Marin Dujmovic +9
Multiple benchmarks have been developed to assess the alignment between deep neural networks (DNNs) and human vision. In almost all cases these benchmarks are observational in the…
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects
Dong Yin, Valerio Biscione, Jeffrey Bowers
A wide variety of orthographic coding schemes and models of visual word identification have been developed to account for masked priming data that provide a measure of orthographic…
Mixed Evidence for Gestalt Grouping in Deep Neural Networks
Valerio Biscione, Jeffrey S. Bowers
Gestalt psychologists have identified a range of conditions in which humans organize elements of a scene into a group or whole, and perceptual grouping principles play an essential…
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
Valerio Biscione, Jeffrey S. Bowers
When seeing a new object, humans can immediately recognize it across different retinal locations: the internal object representation is invariant to translation. It is commonly bel…
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione, Jeffrey S. Bowers
Humans can identify objects following various spatial transformations such as scale and viewpoint. This extends to novel objects, after a single presentation at a single pose, some…
A case for robust translation tolerance in humans and CNNs. A commentary on Han et al
Ryan Blything, Valerio Biscione, Jeffrey Bowers
Han et al. (2020) reported a behavioral experiment that assessed the extent to which the human visual system can identify novel images at unseen retinal locations (what the authors…
Learning Translation Invariance in CNNs
Valerio Biscione, Jeffrey Bowers
When seeing a new object, humans can immediately recognize it across different retinal locations: we say that the internal object representation is invariant to translation. It is…
The human visual system and CNNs can both support robust online translation tolerance following extreme displacements
Ryan Blything, Valerio Biscione, Ivan I. Vankov +2
Visual translation tolerance refers to our capacity to recognize objects over a wide range of different retinal locations. Although translation is perhaps the simplest spatial tran…