5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.CV2019
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…
cs.LG2019★ 5 cited
Weakly-Supervised Temporal Localization via Occurrence Count Learning
Julien Schroeter, Kirill Sidorov, David Marshall
We propose a novel model for temporal detection and localization which allows the training of deep neural networks using only counts of event occurrences as training labels. This p…