2017
Increasing CNN Robustness to Occlusions by Reducing Filter Support
ICCV 2017poster
Convolutional neural networks (CNNs) provide the current state of the art in visual object classification, but they are far less accurate when classifying partially occluded objects. A straightforward way to improve classification under occlusion conditions is to train the classifier using partially…