INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection

INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection

Pedestrian detection is a critical task for safety-critical systems, but detecting pedestrians is challenging in low-light and adverse weather conditions. Thermal images can be used to improve robustness by providing complementary information to RGB images. Previous studies have shown that multi-mod...

Full description

Bibliographic Details
Main Authors: Sangin Lee, Taejoo Kim, Jeongmin Shin, Namil Kim, Yukyung Choi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
autonomous vehicle
computer vision
data augmentation
feature fusion
multispectral
pedestrian detection
Online Access:https://www.mdpi.com/1424-8220/24/4/1168

Internet

https://www.mdpi.com/1424-8220/24/4/1168

Similar Items