Since the existing visual question answering model lacks long-term memory modules for answering complex questions, it is easy to cause the loss of effective information. In order to further improve ...

The major contributions of this paper are as follows: We propose MedFuseNet, an attention based multimodal deep learning model for answer categorization and answer generation tasks in medical domain ...

This research combines deep learning, visual question answering (VQA), and informed learning to bridge the gap between human-level understanding and machine-driven crop diagnostics. ILCD integrates a ...