Abstract Visible-infrared (RGB-IR) image fusion has shown great potentials in object
detection based on unmanned aerial vehicles (UAVs). However the weakly misalignment …

A pedestrian detector that uses visible and thermal infrared image pairs as the input has
better detection performance than a detector that uses only visible image under challenging …

Multispectral pedestrian detection is attractive for around-the-clock applications due to the
complementary information between RGB and thermal modalities. However, current models …

Object detection in visible (RGB) and infrared (IR) images has been widely applied in recent
years. Leveraging the complementary characteristics of RGB and IR images, the object …

Neural attention has become a key component in many deep learning applications, ranging
from machine translation to time series forecasting. While many variations of attention have …

Pedestrian detection is a fundamental task for many downstream applications. Visible and
thermal images, as the two most important data types, are usually used to detect pedestrians …

RGB-Thermal (RGB-T) pedestrian detection aims to locate pedestrians in RGB-T image
pairs to exploit the complementation between the two modalities for improving detection …

Arbitrary-oriented object detection is vital for improving unmanned aerial vehicle (UAV)
sensing and has promising applications. However, challenges persist in detecting objects …

Multispectral pedestrian detection is a technology designed to detect and locate pedestrians
in Color and Thermal images, which has been widely used in automatic driving, video …

Multispectral pedestrian detection based on RGB-thermal (RGB-T) camera has been
actively studied in autonomous driving in recent years as its robustness under complex …