Detecting small or tiny objects is always a difficult and challenging issue in computer vision.
In this paper, we provide a latest and comprehensive survey of deep learning-based …

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 …

Integrating multispectral data has been demonstrated to be an effective solution for
illumination-invariant pedestrian detection, in particular, RGB and thermal images can …

Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to
avoid aa person has to be made with minimal latency. Multispectral approaches that …

Multispectral pedestrian detection has received much attention in recent years due to its
superiority in detecting targets under adverse lighting/weather conditions. In this paper, we …

Multispectral pedestrian detection is an important task due to its critical role in a wide
spectrum of applications. Basically, the complementary information from color and thermal …

RGBT person detection benefits numerous vital applications like surveillance, search, and
rescue. Meanwhile, drones can capture images holding broad perspectives and large …

Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to
facilitate robust detection for around-the-clock applications, has received extensive attention …

To achieve accurate and robust object detection in the real-world scenario, various forms of
images are incorporated, such as color, thermal, and depth. However, multimodal data often …

Multispectral pedestrian detection, which consists of a color stream and thermal stream, is
essential under conditions of insufficient illumination because the fusion of the two streams …