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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 101–107 of 107 papers

TitleStatusHype
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler DivergenceCode0
Learning Modulated Loss for Rotated Object DetectionCode0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
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