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Found 2 papers, 2 papers with code
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics
With the recent expanding attention of machine learning researchers and practitioners to fairness, there is a void of a common framework to analyze and compare the capabilities of proposed models in deep representation learning.
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images
Though image object detectors have shown rapid progress in recent years with the release of multiple large-scale static image datasets, object detection on videos still remains an open problem due to scarcity of annotated video frames.
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