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cs.CV2024
Training Better Deep Learning Models Using Human Saliency
Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer +1
This work explores how human judgement about salient regions of an image can be introduced into deep convolutional neural network (DCNN) training. Traditionally, training of DCNNs…
cs.CV2024
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
Aidan Boyd, Mohamed Trabelsi, Huseyin Uzunalioglu +1
Understanding specifically where a model focuses on within an image is critical for human interpretability of the decision-making process. Deep learning-based solutions are prone t…