The answer should be something like this:
how best to allocate scarce resources among competing uses.
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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I believe the correct answer is fear can be learned via classical conditioning, and that fear can be generalized.
During this experiment, Watson presented Albert with a white mouse and a scary sound, so every time Albert saw a mouse, he was scared by the sound. Over time, he learned to be afraid of the mouse because he was expecting to be scared by the sound, even though the sound may not come. Thus, he learned to be afraid, and the fear was generalized not only to the mouse, but to anything white.
Answer:
B
Explanation:
The provision actually guaranteed property rights for married women, it did not take them away.
Hope this helps! :)
