The unmanned aerial vehicle benchmark: Object detection, tracking and baseline

H Yu, G Li, W Zhang, Q Huang, D Du, Q Tian… - International Journal of …, 2020 - Springer
… As the object density is large and the scenes are complex in UAV videos, FP and FN on
our dataset are much larger than on other datasets for the same algorithm while IDS and FM …

Deep learning-based object detection in low-altitude UAV datasets: A survey

P Mittal, R Singh, A Sharma - Image and Vision computing, 2020 - Elsevier
… -based object detection algorithms on low-altitude UAV … of object detection tasks related
to low altitude-based UAV … for detecting stationary and moving objects in cluttered scenes

The unmanned aerial vehicle benchmark: Object detection and tracking

D Du, Y Qi, H Yu, Y Yang, K Duan… - Proceedings of the …, 2018 - openaccess.thecvf.com
… : object detection, single object tracking, and multiple object … in UAV based real scenes, eg,
high density, small object, and … such issues in unconstrained scenes comprehensively. The …

An improved YOLOv5 method for small object detection in UAV capture scenes

Z Liu, X Gao, Y Wan, J Wang, H Lyu - IEEE Access, 2023 - ieeexplore.ieee.org
… At the same time, it is also one of the most accurate single-stage object detection algorithms…
as the object detection algorithm for UAV capture scenes. YOLOv5 follows the detection idea …

[HTML][HTML] Multi-block SSD based on small object detection for UAV railway scene surveillance

LI Yundong, D Han, LI Hongguang, X Zhang… - Chinese Journal of …, 2020 - Elsevier
… This study aims to improve object detection accuracy when only limited samples are available…
trained using auxiliary labeled data and then refined using a few samples of railway scene. …

Object detection in UAV images via global density fused convolutional network

R Zhang, Z Shao, X Huang, J Wang, D Li - Remote Sensing, 2020 - mdpi.com
… In this paper, we focus on object detection in UAV images [11,12] … object detection from UAV
images can also benefit from the learned object distribution, especially in congested scenes. …

Flying object detection for automatic UAV recognition

L Sommer, A Schumann, T Müller… - 2017 14th IEEE …, 2017 - ieeexplore.ieee.org
object classification. In this work, we investigate the suitability of a number of flying object
detection approaches for the task of UAV detection … with object proposal detectors which are …

Smff-yolo: A scale-adaptive yolo algorithm with multi-level feature fusion for object detection in uav scenes

Y Wang, H Zou, M Yin, X Zhang - Remote Sensing, 2023 - mdpi.com
… We present SMFF-YOLO, a novel one-stage detection framework for accurate object detection
in UAV images. It introduces a novel type of prediction head that fuses convolution with …

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
… performance of the model while considering platform resource consumption, this paper
proposes a UAV aerial scene object detection model called UAV-YOLOv8, based on YOLOv8. …

An empirical study of multi-scale object detection in high resolution UAV images

H Zhang, M Sun, Q Li, L Liu, M Liu, Y Ji - Neurocomputing, 2021 - Elsevier
… in natural scene images usually exhibit unsatisfactory results on UAVobject detection
model from natural scene images to UAV images. This cross-domain gap between natural scene