Recent advances in small object detection based on deep learning: A review

K Tong, Y Wu, F Zhou - Image and Vision Computing, 2020 - Elsevier
Small object detection is a challenging problem in computer vision. It has been widely
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …

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 …

[HTML][HTML] A SAR dataset of ship detection for deep learning under complex backgrounds

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 …

A survey of the four pillars for small object detection: Multiscale representation, contextual information, super-resolution, and region proposal

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 …

[HTML][HTML] YOLO-Fine: One-stage detector of small objects under various backgrounds in remote sensing images

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 …

[HTML][HTML] Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks

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 …

[HTML][HTML] Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network

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 …

目标检测算法在交通场景中应用综述.

肖雨晴, 杨慧敏 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
目标检测是计算机视觉领域的重要研究任务, 在机器人, 自动驾驶, 工业检测等方面应用广泛.
在深度学习理论的基础上, 系统性总结了目标检测算法的发展与研究现状, 对两类算法的特点 …

[HTML][HTML] VCANet: Vanishing-point-guided context-aware network for small road object detection

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 …

Manipal-UAV person detection dataset: A step towards benchmarking dataset and algorithms for small object detection

KR Akshatha, AK Karunakar, S Shenoy… - ISPRS Journal of …, 2023 - Elsevier
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 …