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cs.CV2022
Interpreting deep learning output for out-of-distribution detection
Damian Matuszewski, Ida-Maria Sintorn
Commonly used AI networks are very self-confident in their predictions, even when the evidence for a certain decision is dubious. The investigation of a deep learning model output…
cs.CV2022★ 1 cited
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
Ankit Gupta, Ida-Maria Sintorn
Attention Branch Networks (ABNs) have been shown to simultaneously provide visual explanation and improve the performance of deep convolutional neural networks (CNNs). In this work…