Shenzhen Malong Technologies Co., Ltd.

Luchen Liu

Matthew Robert Scott

Weilin Huang

Sheng Guo

Methods and systems are provided for generating a multi-label classification system. The multi-label classification system can use a multi-label classification neural network system to identify one or more labels for an image. The multi-label classification system can explicitly take into account the relationship between classes in identifying labels. A relevance sub-network of the multi-label classification neural network system can capture relevance information between the classes. Such a relevance sub-network can decouple independence between classes to focus learning on relevance between the classes.

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Shenzhen, China

Luchen Liu