Deep learning-based detection from the perspective of small or tiny objects: A survey
K Tong, Y Wu - Image and Vision Computing, 2022 - Elsevier
Detecting small or tiny objects is always a difficult and challenging issue in computer vision.
In this paper, we provide a latest and comprehensive survey of deep learning-based …
In this paper, we provide a latest and comprehensive survey of deep learning-based …
Vehicle detection from UAV imagery with deep learning: A review
Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …
tasks in a large number of computer vision-based applications. This crucial task needed to …
Towards large-scale small object detection: Survey and benchmarks
With the rise of deep convolutional neural networks, object detection has achieved
prominent advances in past years. However, such prosperity could not camouflage the …
prominent advances in past years. However, such prosperity could not camouflage the …
A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection
Object detection is a well-known task in the field of computer vision, especially the small
target detection problem that has aroused great academic attention. In order to improve the …
target detection problem that has aroused great academic attention. In order to improve the …
YOLOv5-Tassel: Detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning
W Liu, K Quijano, MM Crawford - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras
and LiDAR, have significant potential in precision agriculture, including object detection …
and LiDAR, have significant potential in precision agriculture, including object detection …
UAV-YOLOv8: A small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios
G Wang, Y Chen, P An, H Hong, J Hu, T Huang - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …
military domains. However, the high proportion of small objects in UAV images and the …
Hota: A higher order metric for evaluating multi-object tracking
Multi-object tracking (MOT) has been notoriously difficult to evaluate. Previous metrics
overemphasize the importance of either detection or association. To address this, we …
overemphasize the importance of either detection or association. To address this, we …
Visible-thermal UAV tracking: A large-scale benchmark and new baseline
With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to
achieve robust performance and wider application scenarios with the guidance of objects' …
achieve robust performance and wider application scenarios with the guidance of objects' …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
ViT-YOLO: Transformer-based YOLO for object detection
Drone captured images have overwhelming characteristics including dramatic scale
variance, complicated background filled with distractors, and flexible viewpoints, which pose …
variance, complicated background filled with distractors, and flexible viewpoints, which pose …