Extreme Image Transformations Facilitate Robust Latent Object Representations

no code implementations • 19 Sep 2023 • Girik Malik, Dakarai Crowder, Ennio Mingolla

Adversarial attacks can affect the object recognition capabilities of machines in wild.

feature selection Memorization +2

Extreme Image Transformations Affect Humans and Machines Differently

no code implementations • 30 Nov 2022 • Girik Malik, Dakarai Crowder, Ennio Mingolla

We introduce a set of novel image transforms inspired by neurophysiological findings and evaluate humans and ANNs on an object recognition task.

Object Recognition

The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks

no code implementations • 30 Sep 2021 • Girik Malik, Drew Linsley, Thomas Serre, Ennio Mingolla

Here, we introduce $\textit{PathTracker}$, a visual challenge inspired by cognitive psychology, which tests the ability of observers to learn to track objects solely by their motion.

Object Object Recognition +1

Tracking Without Re-recognition in Humans and Machines

no code implementations • NeurIPS 2021 • Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi N Govindarajan, Ennio Mingolla, Thomas Serre

For this, we introduce PathTracker, a synthetic visual challenge that asks human observers and machines to track a target object in the midst of identical-looking "distractor" objects.

Decision Making Object +2