A novel model for higher performance object detection with deep channel attention super resolution
With the introduction of deep learning methods, target object detection studies have gained momentum and started to be used in many areas. In recent years, various problems related to training the model with appropriate images and improving the current image quality to detect the target object more...
Saved in:
| Main Authors: | Ayse Berika Varol Malkocoglu, Ruya Samli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000588 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing
by: Muhammad Asif, et al.
Published: (2025-05-01) -
Performance Evaluation of Image Super-Resolution for Cavity Detection in Irradiated Materials
by: John Olamofe, et al.
Published: (2025-01-01) -
Infrared Tiny Structureless Object Detection Enhanced by Video Super-Resolution
by: Duixu Mao, et al.
Published: (2025-01-01) -
Hourglass attention for image super-resolution
by: Ling Xu, et al.
Published: (2025-08-01) -
Comparison of Different Heuristics Integrated with Neural Networks: A Case Study for Earthquake Damage Estimation
by: Ayşe Berika Varol Malkoçoğlu, et al.
Published: (2022-12-01)