25 citations · 72 across the 22 of their papers we have counts for
4 papers · 1 filter
Towards Improving Calibration in Object Detection Under Domain Shift
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
With deep neural network based solution more readily being incorporated in real-world applications, it has been pressing requirement that predictions by such models, especially in…
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
Javed Iqbal, Hamza Rawal, Rehan Hafiz +2
This paper proposes a novel pixel-level distribution regularization scheme (DRSL) for self-supervised domain adaptation of semantic segmentation. In a typical setting, the classifi…
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach
M. Fasi ur Rehman, Izza Ali, Waqas Sultani +1
One billion people worldwide are estimated to be living in slums, and documenting and analyzing these regions is a challenging task. As compared to regular slums; the small, scatte…
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
Javed Iqbal, Rehan Hafiz, Mohsen Ali
This paper presents FogAdapt, a novel approach for domain adaptation of semantic segmentation for dense foggy scenes. Although significant research has been directed to reduce the…