Quantifying uncertainty in slum detection: advancing transfer-learning with limited data in noisy urban environments
In the intricate landscape of mapping urban slum dynamics, the significance of robust and
efficient techniques is often underestimated and remains absent in many studies. This not …
efficient techniques is often underestimated and remains absent in many studies. This not …
Rodd: A self-supervised approach for robust out-of-distribution detection
U Khalid, A Esmaeili, N Karim… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Recent studies have started to address the concern of detecting and rejecting the out-of-
distribution (OOD) samples as a major challenge in the safe deployment of deep learning …
distribution (OOD) samples as a major challenge in the safe deployment of deep learning …
Research on Fast Face Recognition Method Based on Double Decision Subspace
L Wang, L Zhang, zhiqiu Huang - … Communications and Mobile …, 2022 - Wiley Online Library
Because a large number of labeled face data samples in special scenes need a large
number of training samples with identity markers, and it is impossible to accurately extract …
number of training samples with identity markers, and it is impossible to accurately extract …