9 citations · 28 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…