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	<title>long-tailed recognition &#8211; BIOENGINEER.ORG</title>
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		<title>AI Reads Ancient Oracle Bones: New Framework Exposes Hidden Failures in Rare Glyph Recognition</title>
		<link>https://bioengineer.org/ai-reads-ancient-oracle-bones-new-framework-exposes-hidden-failures-in-rare-glyph-recognition/</link>
		
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		<pubDate>Mon, 12 Oct 2026 15:38:52 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[character recognition]]></category>
		<category><![CDATA[digital humanities]]></category>
		<category><![CDATA[FAR-YOLO]]></category>
		<category><![CDATA[few-shot learning]]></category>
		<category><![CDATA[frequency-aware sampling]]></category>
		<category><![CDATA[long-tailed recognition]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[OBIMD]]></category>
		<category><![CDATA[object detection]]></category>
		<category><![CDATA[oracle bone inscriptions]]></category>
		<category><![CDATA[paleography]]></category>
		<category><![CDATA[YOLO]]></category>
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					<description><![CDATA[A new frequency-aware study reveals that oracle bone character detectors scoring well overall nearly fail on rare glyphs, and introduces FAR-YOLO, a decoupled framework that lifts few-shot recognition by over 10 percentage points without sacrificing accuracy.]]></description>
		
		
		
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