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VALA: Virtual anchor-guided label assignment for tiny object detection
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DOI：10.1016/j.neucom.2026.134055.png)
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Abstract
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• VALA is proposed to address anchor–object scale mismatch in tiny object detection. • Virtual IoU (VIoU) is introduced to provide scale-aware similarity measurement for tiny objects. • A Dynamic Scaling Strategy is designed to improve training stability and positive sample selection. • VALA can be seamlessly integrated into existing anchor-based detectors without architectural changes. • VALA achieves consistent improvements on multiple tiny and general object detection benchmarks.
Keywords:
VALA
tiny object detection
virtual IoU
label assignment
anchor-based detection
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6.5
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2.5W
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6.5W
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