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	<title>speckle patterns &#8211; BIOENGINEER.ORG</title>
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		<title>New AI Reads Speckle Patterns at Multiple Scales for Fast, Precise Displacement Mapping</title>
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		<pubDate>Sat, 24 Oct 2026 12:03:04 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[digital image correlation]]></category>
		<category><![CDATA[displacement measurement]]></category>
		<category><![CDATA[experimental mechanics]]></category>
		<category><![CDATA[neural network architecture]]></category>
		<category><![CDATA[optical flow]]></category>
		<category><![CDATA[RAFT]]></category>
		<category><![CDATA[Real-time monitoring]]></category>
		<category><![CDATA[speckle patterns]]></category>
		<category><![CDATA[U-Net]]></category>
		<category><![CDATA[uncertainty estimation]]></category>
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					<description><![CDATA[A new non-iterative neural network called DNet-MRSP injects multi-resolution speckle priors into a U-Net decoder, achieving 0.00302-pixel displacement accuracy at 448 frames per second on a 36,000-image benchmark.]]></description>
		
		
		
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