3D scalable quantum convolutional neural networks for point cloud data processing in classification applications
With the beginning of the noisy intermediate-scale quantum (NISQ) era, a quantum neural
network (QNN) has recently emerged as a solution for several specific problems that …
network (QNN) has recently emerged as a solution for several specific problems that …
Fooling Object Detectors in the Physical World with Natural Adversarial Camouflage
D Li, Y Li, G Zhang, K Sun, J Li - 2023 IEEE 22nd International …, 2023 - ieeexplore.ieee.org
Recent research has brought to light the vulnerability of deep neural networks (DNNs) to
adversarial examples. While several methods have been proposed for generating physical …
adversarial examples. While several methods have been proposed for generating physical …
Designing an Efficient Object Detection Model for Autonomous Driving Applications
B Mahaur, A Kumar - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The detection of road objects plays an essential role in the development of autonomous
vehicles in intelligent transportation systems, which has become an emerging field in deep …
vehicles in intelligent transportation systems, which has become an emerging field in deep …
SDA: A NOVEL SKEWED-DEEP-ARCHITECTURE FOR VEHICLE MOTION DETECTION IN DRIVING VIDEOS
T Temel, M Kılıçarslan, Y Hoşcan - Kahramanmaraş Sütçü İmam …, 2024 - jes.ksu.edu.tr
Collision avoidance mechanisms are important topics for studies in the field of autonomous
vehicles. We could obtain prior information about the collision from the movement angles of …
vehicles. We could obtain prior information about the collision from the movement angles of …