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Chg2Cap: A Novel Attentive Network for Remote Sensing Change Captioning

The proposed Chg2Cap method is constructed by a CNN-based feature extractor that uses the pre-trained ResNet-101 as the backbone, an attentive encoder that consists of a hierarchical self-attention block and a ResBlock, and a caption decoder.

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Cite this as

Shizhen Chang, Pedram Ghamisi (2024). Dataset: Chg2Cap: A Novel Attentive Network for Remote Sensing Change Captioning. https://doi.org/10.57702/yw3afjml

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Shizhen Chang
More Authors	Pedram Ghamisi
Homepage	https://github.com/ShizhenChang/Chg2Cap