Learning Calibrated-Guidance for Object Detection in Aerial Images
Object detection is one of the most fundamental yet challenging research topics in the domain of computer vision. Recently, the study on this topic in aerial images has made tremendous progress. However, complex background and worse imaging quality are obvious problems in aerial object detection. Mo...
Main Authors: | Zongqi Wei, Dong Liang, Dong Zhang, Liyan Zhang, Qixiang Geng, Mingqiang Wei, Huiyu Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9735375/ |
Similar Items
-
MStrans: Multiscale Vision Transformer for Aerial Objects Detection
by: Guanlin Lu, et al.
Published: (2022-01-01) -
A Novel Multi-Scale Transformer for Object Detection in Aerial Scenes
by: Guanlin Lu, et al.
Published: (2022-07-01) -
Object Detection Based on Global-Local Saliency Constraint in Aerial Images
by: Chengyuan Li, et al.
Published: (2020-05-01) -
Toward Efficient Object Detection in Aerial Images Using Extreme Scale Metric Learning
by: Ren Jin, et al.
Published: (2021-01-01) -
Eagle-YOLO: An Eagle-Inspired YOLO for Object Detection in Unmanned Aerial Vehicles Scenarios
by: Lyuchao Liao, et al.
Published: (2023-04-01)