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Found 3 papers, 1 papers with code
SoftLoc: Robust Temporal Localization under Label Misalignment
This work addresses the long-standing problem of robust event localization in the presence of temporally of misaligned labels in the training data.
Gradient Weighted Superpixels for Interpretability in CNNs
As Convolutional Neural Networks embed themselves into our everyday lives, the need for them to be interpretable increases.
Weakly-Supervised Temporal Localization via Occurrence Count Learning
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.
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