Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning
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DOI: 10.1109/tmm.2021.3125134
Abstract: Zero-Shot Learning (ZSL) aims to recognize unseen classes that never appear during training. Recently, generative adversarial networks (GANs) have been introduced to convert ZSL into a supervised learning problem by synthesizing unseen visual features. However,… read more here.
Keywords: visual features; adaptive bias; bias aware; shot learning ... See more keywords