
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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CAMANet-Class-Activation-Map-Guided-Attention-Network-for-Radiology-Report-Generation


CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation


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CAMANet enhances cross-modal alignment in radiology report generation by leveraging class activation maps and attention consistency.
