A comprehensive review for typical applications based upon unmanned aerial vehicle platform

Y Han, H Liu, Y Wang, C Liu - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

Synthetic data in human analysis: A survey

I Joshi, M Grimmer, C Rathgeb, C Busch… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey

X Wu, W Li, D Hong, R Tao, Q Du - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
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 …

HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

J Suo, T Wang, X Zhang, H Chen, W Zhou, W Shi - Scientific Data, 2023 - nature.com
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection
applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared …

深度学习中的单阶段小目标检测方法综述.

李科岑, 王晓强, 林浩, 李雷孝… - Journal of Frontiers …, 2022 - search.ebscohost.com
随着深度学习的不断发展, 目标检测技术逐步从基于传统的手工检测方法向基于深度神经网络的
检测方法转变. 在众多基于深度学习的目标检测方法中, 基于深度学习的单阶段目标检测方法因 …

Position-aware relation learning for rgb-thermal salient object detection

H Zhou, C Tian, Z Zhang, C Li, Y Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Salient object detection (SOD) is an important task in computer vision that aims to identify
visually conspicuous regions in images. RGB-Thermal SOD combines two spectra to …

The Caltech Fish Counting dataset: a benchmark for multiple-object tracking and counting

J Kay, P Kulits, S Stathatos, S Deng, E Young… - … on Computer Vision, 2022 - Springer
Abstract We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …

Security in internet of drones: A comprehensive review

S Samanth, P KV, M Balachandra - Cogent Engineering, 2022 - Taylor & Francis
Abstract Unmanned Aerial Vehicles (UAVs), also called drones, are used for various
applications with two basic classifications: civilian and military drones. Civilian drones are …

Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions.

H Mokayed, A Nayebiastaneh, K De… - Proceedings of the …, 2023 - openaccess.thecvf.com
Vehicle detection and recognition in drone images is a complex problem that has been used
for different safety purposes. The main challenge of these images is captured at oblique …

A Partially-Supervised Reinforcement Learning Framework for Visual Active Search

A Sarkar, N Jacobs… - Advances in Neural …, 2023 - proceedings.neurips.cc
Visual active search (VAS) has been proposed as a modeling framework in which visual
cues are used to guide exploration, with the goal of identifying regions of interest in a large …