Multi-factor consideration sample assignment for oriented tiny object detection

Multi-factor consideration sample assignment for oriented tiny object detection

Abstract Tiny object detection in aerial image is crucial for urban planning and environmental monitoring. However, unpredictable orientation and lack of distinctive features pose challenges in sample assignment, often resulting in mismatch and inconsistency between anchors and priors. To address th...

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Bibliographic Details
Main Authors: Jun Miao, Peng Liu, Yuanhua Qiao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Tiny object detection
Orientations
Sample assignment
Multi-factor
Priors
Anchors
Online Access:https://doi.org/10.1038/s41598-025-05772-w
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https://doi.org/10.1038/s41598-025-05772-w

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