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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 11–20 of 107 papers

TitleStatusHype
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
LSKNet: A Foundation Lightweight Backbone for Remote SensingCode4
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
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