Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sami, Shoaib Meraj"'
Annotating automatic target recognition (ATR) is a highly challenging task, primarily due to the unavailability of labeled data in the target domain. Hence, it is essential to construct an optimal target domain classifier by utilizing the labeled inf
Externí odkaz:
http://arxiv.org/abs/2401.12340
State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low quality and often corrupted with noise. Leveraging facial characteristics,
Externí odkaz:
http://arxiv.org/abs/2312.09367
Although a substantial amount of studies is dedicated to morph detection, most of them fail to generalize for morph faces outside of their training paradigm. Moreover, recent morph detection methods are highly vulnerable to adversarial attacks. In th
Externí odkaz:
http://arxiv.org/abs/2209.08130
The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. Due to the high facial similarity of both id
Externí odkaz:
http://arxiv.org/abs/2208.11822
An intrinsic time-scale decomposition (ITD) based method for power transformer fault diagnosis is proposed. Dissolved gas analysis (DGA) parameters are ranked according to their skewness, and then ITD based features extraction is performed. An optima
Externí odkaz:
http://arxiv.org/abs/2110.11467
In this paper, an Empirical Mode Decomposition-based method is proposed for the detection of transformer faults from Dissolve gas analysis (DGA) data. Ratio-based DGA parameters are ranked using their skewness. Optimal sets of intrinsic mode function
Externí odkaz:
http://arxiv.org/abs/2110.11451