Abstract: Highlights•An effective DC-Net is presented to learn robust representations to suppress noisy samples.•A novel Class Activation Mapping Attention Consistency is proposed to make model focus on partially important features.•A novel Class Feature Consistency is designed to encourage model to focus on global semantic information.
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