research
∙
08/24/2023
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition
In this paper, we introduce Masked Feature Modelling (MFM), a novel appr...
share
research
∙
01/18/2023
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism
In this paper, Gated-ViGAT, an efficient approach for video event recogn...
research
∙
01/18/2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
The apparent “black box” nature of neural networks is a barrier to adopt...
research
∙
09/22/2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
In this paper two new learning-based eXplainable AI (XAI) methods for de...
research
∙
07/20/2022