2 papers
cs.LG2019
Class-dependent Compression of Deep Neural Networks
Rahim Entezari, Olga Saukh
Today's deep neural networks require substantial computation resources for their training, storage, and inference, which limits their effective use on resource-constrained devices.…
cs.CV2018
AVID: Adversarial Visual Irregularity Detection
Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz +4
Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With th…