ECAN-Detector: An Efficient Context-Aggregation Network for Small-Object Detection
Over the past decade, the field of object detection has advanced remarkably, especially in the accurate recognition of medium- and large-sized objects. Nevertheless, detecting small objects is still difficult because their low-resolution appearance provides insufficient discriminative features, and...
Saved in:
| Main Authors: | Gaofeng Xing, Zhikang Xu, Yulong He, Hailong Ning, Menghao Sun, Chunmei Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | AppliedMath |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9909/5/2/58 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images
by: Pengfei Zhang, et al.
Published: (2025-08-01) -
MST-YOLO: Small Object Detection Model for Autonomous Driving
by: Mingjing Li, et al.
Published: (2024-11-01) -
LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving
by: Yunchuan Yang, et al.
Published: (2025-08-01) -
MCRS-YOLO: Multi-Aggregation Cross-Scale Feature Fusion Object Detector for Remote Sensing Images
by: Lu Liu, et al.
Published: (2025-06-01) -
A small underwater object detection model with enhanced feature extraction and fusion
by: Tao Li, et al.
Published: (2025-01-01)