Visual Recognition From Structured Supervision
Visual recognition of semantically meaningful entities like objects, actions, and poses in images and videos is a long standing goal of computer vision. In the last decades, we have seen progress towards this goal with the development of machine learning models that leverage huge volumes of human annotated data to perform very accurate recognition of a predefined set of visual entities. However, moving forward, this approach presents significant limitations since annotated datasets are...[Show more]
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|Fonseca De Santa Cruz Oliveira Phd Thesis.pdf||Thesis Material||29.19 MB||Adobe PDF|
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