Toward Versatile Small Object Detection with Temporal-YOLOv8
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features. Most deep learning-based detectors do not exploit the temporal information that is available in video, eve...
Saved in:
| Main Authors: | Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/22/7387 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
YOLOv8 with Post-Processing for Small Object Detection Enhancement
by: Jinkyu Ryu, et al.
Published: (2025-06-01) -
Research on Vehicle Target Detection Method Based on Improved YOLOv8
by: Mengchen Zhang, et al.
Published: (2025-05-01) -
RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8
by: Yifan Wei, et al.
Published: (2025-03-01) -
Improved YOLOv8n for Foreign-Object Detection in Power Transmission Lines
by: Hanjun Wang, et al.
Published: (2024-01-01) -
A recurrent YOLOv8-based framework for event-based object detection
by: Diego A. Silva, et al.
Published: (2025-01-01)