YOLO-HVS: Infrared Small Target Detection Inspired by the Human Visual System
To address challenges of background interference and limited multi-scale feature extraction in infrared small target detection, this paper proposes a YOLO-HVS detection algorithm inspired by the human visual system. Based on YOLOv8, we design a multi-scale spatially enhanced attention module (MultiS...
Saved in:
| Main Authors: | Xiaoge Wang, Yunlong Sheng, Qun Hao, Haiyuan Hou, Suzhen Nie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/10/7/451 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm
by: Shaotong Pei, et al.
Published: (2025-07-01) -
YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images
by: Song Ling, et al.
Published: (2024-11-01) -
YOLO-SSFA: A Lightweight Real-Time Infrared Detection Method for Small Targets
by: Yuchi Wang, et al.
Published: (2025-07-01) -
YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles
by: Xinzhe Luo, et al.
Published: (2025-03-01) -
YOLO-SDLUWD: YOLOv7-based small target detection network for infrared images in complex backgrounds
by: Jinxiu Zhu, et al.
Published: (2025-04-01)