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 …
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 …
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
Effective feature fusion of multispectral images plays a crucial role in multispectral object
detection. Previous studies have demonstrated the effectiveness of feature fusion using …
detection. Previous studies have demonstrated the effectiveness of feature fusion using …
Improving RGB-infrared object detection by reducing cross-modality redundancy
In the field of remote sensing image applications, RGB and infrared image object detection
is an important technology. The object detection performance can be improved and the …
is an important technology. The object detection performance can be improved and the …
Pedestrian detection in low-light conditions: A comprehensive survey
B Ghari, A Tourani, A Shahbahrami… - Image and Vision …, 2024 - Elsevier
Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …
Cross-modality interaction for few-shot multispectral object detection with semantic knowledge
L Huang, Z Peng, F Chen, S Dai, Z He, K Liu - Neural Networks, 2024 - Elsevier
Multispectral object detection (MOD), which incorporates additional information from thermal
images into object detection (OD) to robustly cope with complex illumination conditions, has …
images into object detection (OD) to robustly cope with complex illumination conditions, has …
Illumination-aware image fusion for around-the-clock human detection in adverse environments from unmanned aerial vehicle
This study proposes a novel illumination-aware image fusion technique and a Convolutional
Neural Network (CNN) called BlendNet to significantly enhance the robustness and real …
Neural Network (CNN) called BlendNet to significantly enhance the robustness and real …
Attention-based cross-modality feature complementation for multispectral pedestrian detection
Q Jiang, J Dai, T Rui, F Shao, J Wang, G Lu - IEEE Access, 2022 - ieeexplore.ieee.org
Multispectral pedestrian detection based on deep learning can provide a robust and
accurate detection under different illumination conditions, which has important research …
accurate detection under different illumination conditions, which has important research …
Toward Generalizable Multispectral Pedestrian Detection
Multispectral pedestrian detection has achieved great success in past years, which can be
used in autonomous driving for intelligent transportation system. Most existing multispectral …
used in autonomous driving for intelligent transportation system. Most existing multispectral …
DMFFNet: Dual-mode multi-scale feature fusion-based pedestrian detection method
R Hu, T Rui, Y Ouyang, J Wang, Q Jiang, Y Du - IEEE Access, 2022 - ieeexplore.ieee.org
Most contemporary pedestrian detection algorithms are based on visible light image
detection. However, in environments with dim light, small targets, and easily occluded and …
detection. However, in environments with dim light, small targets, and easily occluded and …