Peer-reviewedCC BYSensors (Basel, Switzerland)
A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection
- 1School of Biomedical Engineering, , Xi’an 710032, China; (S.H.); (C.C.); (M.H.)
Related
- IV-PAFNet: Infrared-visible cross-modal alignment and fusion network for nighttime UAV object detection
- Pedestrian detection and hybrid tracking framework for occluded scenarios
- A nighttime pedestrian detection method based on YOLOv8s with joint image enhancement and network structural optimization
- LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression
- WEIRDO: WEak resIdual Regularized DOob's h-transform diffusion alignment
BibTeX
@article{han2026residual,
title = {{A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection}},
author = {Shipeng Han and Chaowen Chai and Min Hu and Hao Lv},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13709845},
note = {CC BY},
}
RIS
TY - JOUR
TI - A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection
AU - Shipeng Han
AU - Chaowen Chai
AU - Min Hu
AU - Hao Lv
PY - 2026
DA - 2026/10/01
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13709845
SN - 1424-8220
ER -