127 citations · 130 across the 2 of their papers we have counts for
2 papers
cs.MM2021★ 127 cited
TranSalNet: Towards perceptually relevant visual saliency prediction
Jianxun Lou, Hanhe Lin, David Marshall +2
Visual saliency prediction using transformers - Convolutional neural networks (CNNs) have significantly advanced computational modelling for saliency prediction. However, accuratel…
cs.CV2019★ 3 cited
Gradient Weighted Superpixels for Interpretability in CNNs
Thomas Hartley, Kirill Sidorov, Christopher Willis +1
As Convolutional Neural Networks embed themselves into our everyday lives, the need for them to be interpretable increases. However, there is often a trade-off between methods that…