Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges
Augmented Reality (AR) is an augmented depiction of reality formed by overlaying digital
information on an image of objects being seen through a device. Artificial Intelligence (AI) …
information on an image of objects being seen through a device. Artificial Intelligence (AI) …
Deep reinforcement learning in computer vision: a comprehensive survey
Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …
the powerful representation of deep neural networks. Recent works have demonstrated the …
Metaverse in healthcare integrated with explainable AI and blockchain: enabling immersiveness, ensuring trust, and providing patient data security
Digitization and automation have always had an immense impact on healthcare. It embraces
every new and advanced technology. Recently the world has witnessed the prominence of …
every new and advanced technology. Recently the world has witnessed the prominence of …
{Heterogeneity-Aware} cluster scheduling policies for deep learning workloads
Specialized accelerators such as GPUs, TPUs, FPGAs, and custom ASICs have been
increasingly deployed to train deep learning models. These accelerators exhibit …
increasingly deployed to train deep learning models. These accelerators exhibit …
Object detection algorithm based on improved YOLOv3
L Zhao, S Li - Electronics, 2020 - mdpi.com
The 'You Only Look Once'v3 (YOLOv3) method is among the most widely used deep
learning-based object detection methods. It uses the k-means cluster method to estimate the …
learning-based object detection methods. It uses the k-means cluster method to estimate the …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
Statistical analysis of design aspects of various YOLO-based deep learning models for object detection
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …
networks have significantly enhanced their performance in the last decade. There are two …
Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection
Several deep learning algorithms have shown amazing performance for existing object
detection tasks, but recognizing darker objects is the largest challenge. Moreover, those …
detection tasks, but recognizing darker objects is the largest challenge. Moreover, those …
Cattle body detection based on YOLOv5-ASFF for precision livestock farming
Precision livestock farming is a hot topic in the field of agriculture at present. However, due
to the diversity of breeding environments, the current intelligent monitoring of animal …
to the diversity of breeding environments, the current intelligent monitoring of animal …
YOLO nano: A highly compact you only look once convolutional neural network for object detection
A Wong, M Famuori, MJ Shafiee, F Li… - 2019 Fifth Workshop …, 2019 - ieeexplore.ieee.org
Object detection remains an active area of research in the field of computer vision, and
considerable advances and successes has been achieved in this area through the design of …
considerable advances and successes has been achieved in this area through the design of …