In developing countries, labor is cheap and low wages are paid to employees. This enables firms to manufacture products at a low cost and, therefore, to fix low prices for them too. Such goods are exported because they become attractive in the international sphere due to their price. Domestic products from developed nations cannot compete in prices with those imports, because their production costs are much higher, specially the labor costs.
If domestic products cannot compete with imports, domestic firms will not be able to sell their products and this would lead to decrease in sales, a loss of profit and to an excess of employees that wil have to be dismissed.
<u>In absolute terms, low wages in a developing country reduce the production, income and employment levels in developed countries. </u>
What does a orphan call a family photo?
A selfie
Answer:
<em>Disparate-treatment discrimination</em>
Explanation:
Hi! This would be an example of disparate-treatment discrimination. This is because<u><em> disparate treatment refers to a way to prove illegal employment discrimination</em></u>. An employee who makes a disparate treatment claim alleges that he or she was treated differently than other employees based on his ethnnicity and background.
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
Learn more about Monocular 3 D Human :
brainly.com/question/21602764
#SPJ4
