19 citations · 54 across the 13 of their papers we have counts for
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cs.CV2020★ 6 cited
Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation
Rui Li, Qing Mao, Pei Wang +4
Self-supervised depth estimation has shown its great effectiveness in producing high quality depth maps given only image sequences as input. However, its performance usually drops…
cs.CV2020★ 4 cited
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu, Pedro Morgado, Pei Wang +2
Long-tail recognition tackles the natural non-uniformly distributed data in real-world scenarios. While modern classifiers perform well on populated classes, its performance degrad…
cs.CV2020★ 3 cited
SCOUT: Self-aware Discriminant Counterfactual Explanations
Pei Wang, Nuno Vasconcelos
The problem of counterfactual visual explanations is considered. A new family of discriminant explanations is introduced. These produce heatmaps that attribute high scores to image…