Attentive Feature Augmentation for Long-Tailed Visual Recognition
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DOI: 10.1109/tcsvt.2022.3161427
Abstract: Deep neural networks have achieved great success on many visual recognition tasks. However, training data with a long-tailed distribution dramatically degenerates the performance of recognition models. In order to relieve this imbalance problem, an effective… read more here.
Keywords: recognition; visual recognition; tailed visual; long tailed ... See more keywords