Adapting Segment Anything Method for ISTD via Parameter-Efficient and Coarse-to-Fine Learning

Infrared small target detection (ISTD) plays a crucial role in many real-world applications. However, this task remains highly challenging due to the extremely small target size, low contrast, and complex background interference as infrared small targets often occupy fewer than 80 pixels in a <inlin...

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Hlavní autoři:	Siyu Li, Yuan Ding, Weicong Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Applied Sciences
Témata:	ISTD Segment Anything Model foundation model adaptation detail enhancement
On-line přístup:	https://www.mdpi.com/2076-3417/16/9/4463
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