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Found 3 papers, 1 papers with code
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
In this paper, we define a probabilistic framework and present a formal proof of an algorithm for the unsupervised many-to-infinity domain adaptation of posteriors.
An exploration of the performances achievable by combining unsupervised background subtraction algorithms
Background subtraction (BGS) is a common choice for performing motion detection in video.
Summarizing the performances of a background subtraction algorithm measured on several videos
In this paper, we present a theoretical approach to summarize the performances for multiple videos that preserves the relationships between performance indicators.
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