Big data and IoT-based applications in smart environments: A systematic review
This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …
environments. The aim is to identify key areas of application, current trends, data …
RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Attention, please! A survey of neural attention models in deep learning
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
Improving multispectral pedestrian detection by addressing modality imbalance problems
Multispectral pedestrian detection is capable of adapting to insufficient illumination
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …
Differential feature awareness network within antagonistic learning for infrared-visible object detection
R Zhang, L Li, Q Zhang, J Zhang, L Xu… - … on Circuits and …, 2023 - ieeexplore.ieee.org
The combination of infrared and visible videos aims to gather more comprehensive feature
information from multiple sources and reach superior results on various practical tasks, such …
information from multiple sources and reach superior results on various practical tasks, such …
Cross-modality fusion transformer for multispectral object detection
Multispectral image pairs can provide the combined information, making object detection
applications more reliable and robust in the open world. To fully exploit the different …
applications more reliable and robust in the open world. To fully exploit the different …
Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
Cross-modality fusing complementary information of multispectral remote sensing image
pairs can improve the perception ability of detection algorithms, making them more robust …
pairs can improve the perception ability of detection algorithms, making them more robust …
Guided attentive feature fusion for multispectral pedestrian detection
Multispectral image pairs can provide complementary visual information, making pedestrian
detection systems more robust and reliable. To benefit from both RGB and thermal IR …
detection systems more robust and reliable. To benefit from both RGB and thermal IR …
From handcrafted to deep features for pedestrian detection: A survey
Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …
in human-centric tasks. Over the past decade, significant improvement has been witnessed …
Multimodal object detection via probabilistic ensembling
Object detection with multimodal inputs can improve many safety-critical systems such as
autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study …
autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study …