49 citations · 55 across the 8 of their papers we have counts for
5 papers · 1 filter
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari, Rojina Kashefi, Vahid Reza Khazaie +2
Anomaly detection involves identifying instances within a dataset that deviate from the norm and occur infrequently. Current benchmarks tend to favor methods biased towards low div…
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou +1
Transformers have had a significant impact on natural language processing and have recently demonstrated their potential in computer vision. They have shown promising results over…
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis
Mohammad Mahdi Mehmanchi, Mahbod Nouri, Mohammad Sabokrou
This paper proposes a straightforward and cost-effective approach to assess whether a deep neural network (DNN) relies on the primary concepts of training samples or simply learns…
MobileDenseNet: A new approach to object detection on mobile devices
Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani
Object detection problem solving has developed greatly within the past few years. There is a need for lighter models in instances where hardware limitations exist, as well as a dem…
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou +3
This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that…