most citedTowards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models

Osman Tursun, Simon Denman, Sridha Sridharan +1

Heatmaps are widely used to interpret deep neural networks, particularly for computer vision tasks, and the heatmap-based explainable AI (XAI) techniques are a well-researched topi…

cs.CV2022

SESS: Saliency Enhancing with Scaling and Sliding

Osman Tursun, Simon Denman, Sridha Sridharan +1

High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techni…