MS-DETR: Multispectral pedestrian detection transformer with loosely coupled fusion and modality-balanced optimization
Y Xing, S Yang, S Wang, S Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Multispectral pedestrian detection is an important task for many around-the-clock
applications, since the visible and thermal modalities can provide complementary …
applications, since the visible and thermal modalities can provide complementary …
Tfdet: Target-aware fusion for rgb-t pedestrian detection
X Zhang, X Zhang, J Wang, J Ying… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Pedestrian detection plays a critical role in computer vision as it contributes to ensuring
traffic safety. Existing methods that rely solely on RGB images suffer from performance …
traffic safety. Existing methods that rely solely on RGB images suffer from performance …
YOLO-Adaptor: A Fast Adaptive One-Stage Detector for Non-Aligned Visible-Infrared Object Detection
Visible-infrared object detection has attracted increasing attention recently due to its
superior performance and cost-efficiency. Most existing methods focus on the detection of …
superior performance and cost-efficiency. Most existing methods focus on the detection of …
Efficient cross-modality feature interaction for multispectral armored vehicle detection
J Zhang, T Chang, L Zhao, J Ma, B Han, L Zhang - Applied Soft Computing, 2024 - Elsevier
Detecting armed vehicles from a UAV platform is challenging due to the complexity of
ground environment. This paper presents a dual-stream multispectral armored vehicle …
ground environment. This paper presents a dual-stream multispectral armored vehicle …
Illumination Distribution-Aware Thermal Pedestrian Detection
Pedestrian detection is an important task in computer vision, which is also an important part
of intelligent transportation systems. For privacy protection, thermal images are widely used …
of intelligent transportation systems. For privacy protection, thermal images are widely used …
FDENet: Fusion Depth Semantics and Edge-Attention Information for Multispectral Pedestrian Detection
X Liu, X Xu, J Xie, P Li, J Wei… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
In recent years, multispectral pedestrian detection as a multimodal solution, using visible
light and thermal image multimodal information to solve pedestrian detection challenges in …
light and thermal image multimodal information to solve pedestrian detection challenges in …
M2FNet: Mask-guided Multi-level Fusion for RGB-T Pedestrian Detection
X Li, S Chen, C Tian, H Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
RGB-Thermal pedestrian detection has shown many notable advantages in various lighting
and weather conditions by combining the information from RGB-T images. Due to distinct …
and weather conditions by combining the information from RGB-T images. Due to distinct …
Multimodal Pedestrian Detection based on Cross-Modality Reference Search
Pedestrian detection in thermal and visible images is crucial for various applications, such
as surveillance, driver assistance, and autonomous driving. In this article, we propose a …
as surveillance, driver assistance, and autonomous driving. In this article, we propose a …
MFMANet: a multispectral pedestrian detection network using multi-resolution RGB feature reuse with multi-scale FIR attentions
J Guo, Y Zhang, J Zheng, Z Huang, Y Tao - Machine Vision and …, 2024 - Springer
In the realm of multispectral pedestrian detection, especially under challenging low-
illumination, the existing methods, characterized by cross-modality feature interaction, lack …
illumination, the existing methods, characterized by cross-modality feature interaction, lack …
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection
Z Chen, Y Qian, X Yang, C Wang, M Yang - arXiv preprint arXiv …, 2024 - arxiv.org
Multispectral pedestrian detection has been shown to be effective in improving performance
within complex illumination scenarios. However, prevalent double-stream networks in …
within complex illumination scenarios. However, prevalent double-stream networks in …