55 citations · 328 across the 36 of their papers we have counts for
7 papers · 1 filter
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks +3
Machine learning models often encounter samples that are diverged from the training distribution. Failure to recognize an out-of-distribution (OOD) sample, and consequently assign…
Multi-Modal Zero-Shot Sign Language Recognition
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +1
Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards overcoming the annotation bottleneck in the Sign Language Recognition (SLR), we explore the idea of Zero-Shot…
Sign Language Production: A Review
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +1
Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the h…
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations
Bahram Mohammadi, Mohammad Sabokrou
This paper presents a practical and simple yet efficient method to effectively deal with the catastrophic forgetting for Class Incremental Learning (CIL) tasks. CIL tends to learn…
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning
Mozhgan PourKeshavarz, Mohammad Sabokrou
Classical deep neural networks are limited in their ability to learn from emerging streams of training data. When trained sequentially on new or evolving tasks, their performance d…
Image/Video Deep Anomaly Detection: A Survey
Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
The considerable significance of Anomaly Detection (AD) problem has recently drawn the attention of many researchers. Consequently, the number of proposed methods in this research…