219 citations · 220 across the 2 of their papers we have counts for
5 papers
Beneficial perturbation network for continual learning
Shixian Wen, Laurent Itti
Sequential learning of multiple tasks in artificial neural networks using gradient descent leads to catastrophic forgetting, whereby previously learned knowledge is erased during l…
metricDTW: local distance metric learning in Dynamic Time Warping
Jiaping Zhao, Zerong Xi, Laurent Itti
We propose to learn multiple local Mahalanobis distance metrics to perform k-nearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dy…
Active Long Term Memory Networks
Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe +2
Continual Learning in artificial neural networks suffers from interference and forgetting when different tasks are learned sequentially. This paper introduces the Active Long Term…
shapeDTW: shape Dynamic Time Warping
Jiaping Zhao, Laurent Itti
Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data ali…
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
Ali Borji, Laurent Itti
Saliency modeling has been an active research area in computer vision for about two decades. Existing state of the art models perform very well in predicting where people look in n…