Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition.Although hand detection has been extensively studied for decades, it is still a challenging task with many prob
The purpose of the article/hypothesis: The measures taken by the governments to fight Covid-19 such as social distancing and lockdowns not only crippled the social life, but also the economies of their countries.The purpose of this paper is to analyze the impact of the Covid-19 pandemic on the Turkish economy.The authors used the Istanbul Stock Exc
In recent years, self-supervised learning has made tremendous progress in closing the gap to supervised learning due to the rapid development of more sophisticated approaches like SimCLR, MoCo, and SwAV.However, these achievements are primarily evaluated on common benchmark datasets.In this paper, we focus on evaluating self-supervised polly pocket