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Found 3 papers, 1 papers with code
Implicit Neural Representation in Medical Imaging: A Comparative Survey
Recognizing the potential of INRs beyond these domains, this survey aims to provide a comprehensive overview of INR models in the field of medical imaging.
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition
Through experiments on benchmark scene classification datasets, EnTri has demonstrated superiority in terms of recognition accuracy, achieving competitive performance compared to state-of-the-art approaches, with an accuracy of 87. 69%, 75. 56%, and 99. 17% on the MIT67, SUN397, and UIUC8 datasets, respectively.
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
Additionally, objects and regions of the input image that are relevant to the model prediction are frequently not entirely differentiated by heatmaps.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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