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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 91–100 of 107 papers

TitleStatusHype
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images—0
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
Accelerating Deep Learning Applications in Space—0
Axis Learning for Orientated Objects Detection in Aerial Images—0
Oriented Objects as pairs of Middle Lines—0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection—0
Gliding vertex on the horizontal bounding box for multi-oriented object detection—0
Learning Modulated Loss for Rotated Object DetectionCode0
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