1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Fast and Simple Explainability for Point Cloud Networks
Meir Yossef Levi, Guy Gilboa
We propose a fast and simple explainable AI (XAI) method for point cloud data. It computes pointwise importance with respect to a trained network downstream task. This allows bette…
DXAI: Explaining Classification by Image Decomposition
Elnatan Kadar, Guy Gilboa
We propose a new way to explain and to visualize neural network classification through a decomposition-based explainable AI (DXAI). Instead of providing an explanation heatmap, our…
Additive Class Distinction Maps using Branched-GANs
Elnatan Kadar, Jonathan Brokman, Guy Gilboa
We present a new model, training procedure and architecture to create precise maps of distinction between two classes of images. The objective is to comprehend, in pixel-wise resol…
EPiC: Ensemble of Partial Point Clouds for Robust Classification
Meir Yossef Levi, Guy Gilboa
Robust point cloud classification is crucial for real-world applications, as consumer-type 3D sensors often yield partial and noisy data, degraded by various artifacts. In this wor…