3 papers
cs.CV2024
Vehicle Detection Performance in Nordic Region
Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi +5
This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low…
cs.CV2023
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De +2
Self-supervised learning in computer vision aims to leverage the inherent structure and relationships within data to learn meaningful representations without explicit human annotat…
cs.CV2023
Robust and Fast Vehicle Detection using Augmented Confidence Map
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled +4
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, et…