Multi-block SSD based on small object detection for UAV railway scene surveillance
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2020.02.024
Abstract: Abstract A method of multi-block Single Shot MultiBox Detector (SSD) based on small object detection is proposed to the railway scene of unmanned aerial vehicle surveillance. To address the limitation of small object detection, a… read more here.
Keywords: object detection; multi block; ssd; small object ... See more keywords
An Improved Faster R-CNN for Small Object Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932731
Abstract: With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection. However,… read more here.
Keywords: object detection; faster cnn; cnn small; small object ... See more keywords
Multi-Component Fusion Network for Small Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939488
Abstract: Small object detection is a major challenge in the field of object detection. With the development of deep learning, many methods based on deep convolutional neural networks (DCNNs) have greatly improved the speed of detection… read more here.
Keywords: remote sensing; fusion network; object detection; small object ... See more keywords
Small-Object Detection Based on YOLO and Dense Block via Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3072211
Abstract: Small-object detection is a basic and challenging problem in computer vision tasks. It is widely used in pedestrian detection, traffic sign detection, and other fields. This paper proposes a deep learning small-object detection method based… read more here.
Keywords: image super; resolution; object detection; image ... See more keywords
FPPNet: A Fixed-Perspective-Perception Module for Small Object Detection Based on Background Difference
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3263539
Abstract: A roadside sensing unit can provide over-the-horizon perception information for autonomous vehicles due to its high perception perspective. However, numerous challenges need to be overcome such as the missing detection of small objects and occluded… read more here.
Keywords: fppnet; detection; object detection; small object ... See more keywords
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3061419
Abstract: Recently, along with several technological advancements in cyber-physical systems, the revolution of Industry 4.0 has brought in an emerging concept named digital twin (DT), which shows its potential to break the barrier between the physical… read more here.
Keywords: cyber physical; object detection; smart manufacturing; small object ... See more keywords
HDA-Net: Hybrid Convolutional Neural Networks for Small Objects Recognization at Airports
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3219500
Abstract: Identifying small objects is essential in airport clearances, such as unmanned aerial vehicles (UAVs) and bird flocks, affecting the safety of the entire airport. Due to small objects and complex backgrounds, it is a formidable… read more here.
Keywords: neural networks; structure; hybrid convolutional; small object ... See more keywords
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3228497
Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases. Furthermore, small objects in… read more here.
Keywords: infrared small; object detection; uiu net; net net ... See more keywords
Extended Feature Pyramid Network for Small Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3074273
Abstract: Small object detection remains an unsolved challenge because it is hard to extract the information of small objects with only a few pixels. While scale-level corresponding detection in feature pyramid network alleviates this problem, we… read more here.
Keywords: feature pyramid; object detection; feature; small object ... See more keywords
Bioinspired Approaches for Autonomous Small-Object Detection and Avoidance
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2019.2922472
Abstract: Small-object detection and avoidance in unknown environments is a significant challenge to overcome for small autonomous vehicles that are generally highly agile and restricted in payload and computational processing power. Typical machine-vision and range measurement-based… read more here.
Keywords: field; object detection; detection avoidance; small field ... See more keywords
Small object in the dark light scene using dual-branch channel and spatial
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023037
Abstract: Abstract. Object detection is an enabling technology of computer vision for locating instances and categorizing classes of objects in images or videos. It has made enormous strides with significant growing of deep learning research over… read more here.
Keywords: light scene; detection; dark light; small object ... See more keywords