An improved lightweight small object detection framework applied to real-time autonomous driving
Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …
detection of large objects in autonomous driving applications. However, the detection of …
Deep transformer networks for precise pothole segmentation tasks
I Katsamenis, A Sakelliou, N Bakalos… - Proceedings of the 16th …, 2023 - dl.acm.org
Potholes on the road surface are a significant safety hazard and can cause severe damage
to vehicles. Identifying and repairing potholes is a challenging task that requires efficient and …
to vehicles. Identifying and repairing potholes is a challenging task that requires efficient and …
Investigation of edge computing in computer vision-based construction resource detection
The Internet of Things (IoT), including sensors, computer vision (CV), robotics, and visual
reality technologies, is widely used in the construction industry to facilitate construction …
reality technologies, is widely used in the construction industry to facilitate construction …
Leveraging deep learning decision-support system in specialized oncology center: a multi-reader retrospective study on detection of pulmonary lesions in chest X-ray …
D Kvak, A Chromcová, R Hrubý, E Janů, M Biroš… - Diagnostics, 2023 - mdpi.com
Chest X-ray (CXR) is considered to be the most widely used modality for detecting and
monitoring various thoracic findings, including lung carcinoma and other pulmonary lesions …
monitoring various thoracic findings, including lung carcinoma and other pulmonary lesions …
Surface defect detection with channel-spatial attention modules and bi-directional feature pyramid
H Xin, K Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability
to capture intricate details of complex objects. To solve the problems of insufficient feature …
to capture intricate details of complex objects. To solve the problems of insufficient feature …
Deep learning model yolov5 for red chilies detection from chilly crop images
PPVS Ram, KVS Yaswanth, S Kamepalli… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The agriculture industry has been facing a growing challenge with the rising cost of labor in
recent years. A large portion of the expenses incurred in agriculture goes towards employing …
recent years. A large portion of the expenses incurred in agriculture goes towards employing …
In-field chilli crop disease detection using YOLOv5 deep learning technique
KM Mayalekshmi, A Ranjan… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Crop disease detection in the actual field is difficult due to the unstructured environment. The
images taken from the farms are covered mainly by green-colored plants or leaves, from …
images taken from the farms are covered mainly by green-colored plants or leaves, from …
Comparative study of various algorithms for vehicle detection and counting in traffic
Now a days massive traffic queues and accidents are very much there in the Indian roads.
Traffic Management is a critical issue which influences us all things considered, regular. Use …
Traffic Management is a critical issue which influences us all things considered, regular. Use …
Visual servo kinematic control of delta robot using YOLOv5 algorithm
K Yamtuan, T Radomngam… - Journal of Robotics and …, 2023 - journal.umy.ac.id
Industrial delta robots with motion-and vision-base controllers, providing high-precision and
fast/flexible motion, normally come with high cost and complex software. Low-cost delta …
fast/flexible motion, normally come with high cost and complex software. Low-cost delta …
Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs
Idiopathic osteosclerosis (IO) are focal radiopacities of unknown etiology observed in the
jaws. These radiopacities are incidentally detected on dental panoramic radiographs taken …
jaws. These radiopacities are incidentally detected on dental panoramic radiographs taken …