Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning

no code implementations • 11 Jul 2023 • Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

Machine learning is increasingly deployed in safety-critical domains where robustness against adversarial attacks is crucial and erroneous predictions could lead to potentially catastrophic consequences.

Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation

1 code implementation • 16 Jul 2021 • Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip Torr

For low-fidelity training data (incorrect class label) class-agnostic segmentation loss outperforms the state-of-the-art methods on salient object detection datasets by staggering margins of around 50%.

Object object-detection +3