SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images
Arbitrary-oriented object detection in remote sensing images has witnessed significant progress in recent years. Numerous excellent detection models perform promising results, however, there are two main tough challenges hinder their performances. On the one hand, current label assignment strategies...
Saved in:
| Main Authors: | Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10848126/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Target Detection Label Assignment Method Based on Global Information
by: ZHANG Pei-pei, et al.
Published: (2022-08-01) -
EBDet: Ellipse Feature Encode and Balanced Decoupling Label Assignment for Arbitrary-Oriented Ship Detection in Optical Remote Sensing Images
by: Tianqi Zhao, et al.
Published: (2025-01-01) -
A Rank-Based Assignment Lottery for an Assignment Problem
by: Claudia Meo
Published: (2025-06-01) -
Shape-Dependent Dynamic Label Assignment for Oriented Remote Sensing Object Detection
by: Xue Zhang, et al.
Published: (2025-01-01) -
AFDR-Det: Adaptive Feature Dual-Refinement Oriented Detector for Remote Sensing Object Detection
by: Jie Yang, et al.
Published: (2025-01-01)