activity
20232026
most citedA Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

8 citations · 9 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models

Qutub Syed Sha, Michael Paulitsch, Karthik Pattabiraman +6

As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips dur…

cs.CV2023★ 8 cited

A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Florian Geissler, Syed Qutub, Michael Paulitsch +1

We present a highly compact run-time monitoring approach for deep computer vision networks that extracts selected knowledge from only a few (down to merely two) hidden layers, yet…