2 papers
cs.CV2025
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
Hanjiang Hu, Bowei Li, Ziwei Wang +4
Deep neural networks have been widely adopted in many vision and robotics applications with visual inputs. It is essential to verify its robustness against semantic transformation…
cs.CV2024
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods
Xusheng Luo, Tianhao Wei, Simin Liu +6
This work addresses the certification of the local robustness of vision-based two-stage 6D object pose estimation. The two-stage method for object pose estimation achieves superior…