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 …
Y Wang, C Wang, H Zhang, Y Dong, S Wei - remote sensing, 2019 - mdpi.com
With the launch of space-borne satellites, more synthetic aperture radar (SAR) images are available than ever before, thus making dynamic ship monitoring possible. Object detectors …
G Chen, H Wang, K Chen, Z Li, Z Song… - … on systems, man …, 2020 - ieeexplore.ieee.org
Although great progress has been made in generic object detection by advanced deep learning techniques, detecting small objects from images is still a difficult and challenging …
MT Pham, L Courtrai, C Friguet, S Lefèvre, A Baussard - Remote Sensing, 2020 - mdpi.com
Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and …
L Courtrai, MT Pham, S Lefèvre - Remote Sensing, 2020 - mdpi.com
This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image spatial resolution, thus the …
SMA Bashir, Y Wang - Remote Sensing, 2021 - mdpi.com
This paper deals with detecting small objects in remote sensing images from satellites or any aerial vehicle by utilizing the concept of image super-resolution for image resolution …
G Chen, K Chen, L Zhang, L Zhang, A Knoll - Automotive Innovation, 2021 - Springer
Advanced deep learning technology has made great progress in generic object detection of autonomous driving, yet it is still challenging to detect small road hazards in a long distance …
Intelligent UAV video analysis has drawn the attention of many researchers due to the increasing demand for unmanned aerial vehicles (UAVs) in computer vision-related …