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	<title>conditional diffusion model &#8211; BIOENGINEER.ORG</title>
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		<title>Diffusion-Generated Degraded Images Teach Underwater Detectors to See Through Murk</title>
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		<pubDate>Mon, 19 Oct 2026 07:29:10 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[conditional diffusion model]]></category>
		<category><![CDATA[data augmentation]]></category>
		<category><![CDATA[degradation simulation]]></category>
		<category><![CDATA[GDH-Det]]></category>
		<category><![CDATA[hard-sample learning]]></category>
		<category><![CDATA[Marine Robotics]]></category>
		<category><![CDATA[object]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[small-object detection]]></category>
		<category><![CDATA[underwater]]></category>
		<category><![CDATA[underwater object detection]]></category>
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					<description><![CDATA[Researchers developed GDH-Det, an underwater object detection method that uses a conditional diffusion network to synthesize degraded training images and prioritize hard samples, improving accuracy across four public benchmarks.]]></description>
		
		
		
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