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Object Detection In Aerial Images

Object Detection in Aerial Images is the task of detecting objects from aerial images.

( Image credit: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images )

Papers

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Showing 21–30 of 107 papers

TitleStatusHype
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
On the Robustness of Object Detection Models on Aerial ImagesCode1
Spatial Transform Decoupling for Oriented Object DetectionCode1
Density Crop-guided Semi-supervised Object Detection in Aerial ImagesCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection TransformerCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
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