Weakly Supervised Object Detection for Remote Sensing Images via Progressive Image-Level and Instance-Level Feature Refinement

Weakly Supervised Object Detection for Remote Sensing Images via Progressive Image-Level and Instance-Level Feature Refinement

Weakly supervised object detection (WSOD) aims to predict a set of bounding boxes and corresponding category labels for instances with only image-level supervisions. Compared with fully supervised object detection, WSOD in remote sensing images (RSIs) is much more challenging due to the vast foregro...

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Bibliographic Details
Main Authors: Shangdong Zheng, Zebin Wu, Yang Xu, Zhihui Wei
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
weakly supervised learning
remote sensing images
object detection
image-level feature refinement
instance-level feature refinement
Online Access:https://www.mdpi.com/2072-4292/16/7/1203

Internet

https://www.mdpi.com/2072-4292/16/7/1203

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