Self-supervised learning methods have received much attention in skeleton-based human action recognition.These methods rely on pretext tasks to utilize unlabeled data and learn an effective feature encoder.In this paper, a novel self-supervised learning method is proposed.First, we design a new pretext task called view enhanced easton speed comp -1
viewed in the context of geopolitical and geostrategic current and through the elements of distinction in terms of identity and cultural institutions, chart Romania - NATO / Israel - EU stands under the sign of the common interest channel, firstly, on common values and hence the collective interests of the partners involved in the two organizationa
This paper aims at analyzing a new tool in the fight against corruption in the country, which is bad for all sectors of our society, with disastrous consequences in several sectors such as pete cromer rainbow lorikeet health, education, public security, bringing political and economic stagnation, besides discredit the population in the institutions