The dependency of the generalization error of neural networks on model a...
Predicting human perceptual similarity is a challenging subject of ongoi...
We showcase a family of common failures of state-of-the art object detec...
Perceptual judgment of image similarity by humans relies on a rich inter...
While great advances are made in pattern recognition and machine learnin...
There is no denying the tremendous leap in the performance of machine
le...
Training deep neural networks results in strong learned representations ...
Visual priming is known to affect the human visual system to allow detec...
Given an existing trained neural network, it is often desirable to be ab...
Classes in natural images tend to follow long tail distributions. This i...
Convolutional neural networks have been shown to develop internal
repres...
Action recognition in still images has seen major improvement in recent ...
Action recognition in still images has seen major improvement in recent ...