ways to protect women and children from discrimination and violence
<u>Explanation:</u>
Protecting women from discrimination and violence:
- Better laws has to be passed against rapes, verbal abuse, beatings, honor killings.
- Value of Education for girl's and women's contribution to economic development must be highlighted and given higher priority.
- Resolution of disputes has to be promoted by including the perspective of women and girls.
- Child marriage has to be stopped.
- Encourage women about the right to vote.
- Awareness about Human Rights law has to be explained to women.
Protecting children from discrimination and violence:
- Implementation and enforcement of children laws against violence and discrimination.
- Parental and caregiver support has to be encouraged.
- Education and life skills about discipline, good habits, personality development, etc has to be given high importance.
- Exposing children to multicultural experiences and diverse friednship.
- Avoid retaliation or expression of Aggression in front of children
Answer:
voilence
Explanation:
bullet represent voilence
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
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