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 …
A comparative study of YOLOv5 and YOLOv7 object detection algorithms
OE Olorunshola, ME Irhebhude… - Journal of Computing …, 2023 - publisher.unimas.my
This paper presents a comparative analysis of the widely accepted YOLOv5 and the latest
version of YOLO which is YOLOv7. Experiments were carried out by training a custom model …
version of YOLO which is YOLOv7. Experiments were carried out by training a custom model …
[HTML][HTML] Fusion flow-enhanced graph pooling residual networks for unmanned aerial vehicles surveillance in day and night dual visions
Abstract Recognizing unauthorized Unmanned Aerial Vehicles (UAVs) within designated no-
fly zones throughout the day and night is of paramount importance, where the unauthorized …
fly zones throughout the day and night is of paramount importance, where the unauthorized …
Tea Buds Detection in Complex Background Based on Improved YOLOv7
J Meng, F Kang, Y Wang, S Tong, C Zhang… - IEEE Access, 2023 - ieeexplore.ieee.org
Aiming at the problem that the color of tea buds is highly similar to the background in
complex scenes and it is difficult to identify the buds, this study proposed an improved …
complex scenes and it is difficult to identify the buds, this study proposed an improved …
Hubble Meets Webb: Image-to-Image Translation in Astronomy
This work explores the generation of James Webb Space Telescope (JWSP) imagery via
image-to-image translation from the available Hubble Space Telescope (HST) data …
image-to-image translation from the available Hubble Space Telescope (HST) data …
Collision Prediction of Smart Cities Using Co-simulation
A Karre, A Azim - Procedia Computer Science, 2023 - Elsevier
Road traffic has become prominent in everyday living, impacting or disrupting services to
people and daily routines. With the rise in automobile manufacturing and the frequency of …
people and daily routines. With the rise in automobile manufacturing and the frequency of …
Water Floating Garbage Detection Algorithm Based on Improved YOLOv7-Tiny
X Du, Z Xie - Advances in Machinery, Materials Science and …, 2023 - ebooks.iospress.nl
This paper presents a SC-YOLOv7_tiny model based on YOLOv7-tiny, combined with a UAV
platform to detect floating garbage in water areas, addressing the low efficiency and high …
platform to detect floating garbage in water areas, addressing the low efficiency and high …