Significant advances in deep learning have obtained hallmark accuracy rates for various
computer vision applications. However, advances in deep generative models have also led to …

Published research highlights the presence of demographic bias in automated facial attribute
classification. The proposed bias mitigation techniques are mostly based on supervised …

Published studies have suggested the bias of automated face-based gender classification
algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for …

With significant advances in deep learning, many computer vision applications have reached
the inflection point. However, these deep learning models need large amount of labeled …

Published research suggests bias of face and ocular biometrics across demographics.
Specifically, unequal performance is obtained for women and dark-skinned people. However, …

Published research highlights the presence of demographic bias in automated facial attribute
classification algorithms, notably im-pacting women and individuals with darker skin tones. …

Published research suggests bias of face and ocular biometrics across demographics.
Specifically, unequal performance is obtained for women and darkskinned people. However, …

Metal concentrations (Al, Cr, Ni, Cu, Zn, and Pb), grain size, and total organic carbon content
in 29 surface sediment samples from the nearshore area off Calicut were analyzed to …

With significant advances in deep learning, many computer vision applications have reached
the inflection point. However, these deep learning models need large amount of labeled …

Four species of fishes viz., Acentrogobius viridipunctatus; Mugilogobius tigrinus; Oxyurichthys
ophthalmonema; Pseudogobius poicilosoma; belonging to the family Gobiidae and one …