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洞見 - Cross-Modal Alignment in Radiology Reports
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
CAMANet enhances cross-modal alignment in radiology report generation by leveraging class activation maps and attention consistency.
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
The author proposes CAMANet to enhance cross-modal alignment and discriminative representation in radiology report generation, outperforming previous methods on benchmark datasets.
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