3 papers
cs.CV2021
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition
Hossein Adeli, Seoyoung Ahn, Gregory Zelinsky
The visual system processes a scene using a sequence of selective glimpses, each driven by spatial and object-based attention. These glimpses reflect what is relevant to the ongoin…
cs.CV2020
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn +5
Understanding how goal states control behavior is a question ripe for interrogation by new methods from machine learning. These methods require large and labeled datasets to train…
cs.CV2018
Learning to attend in a brain-inspired deep neural network
Hossein Adeli, Gregory Zelinsky
Recent machine learning models have shown that including attention as a component results in improved model accuracy and interpretability, despite the concept of attention in these…