Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection

CVPR 2020 Fa-Ting HongWei-Hong LiWei-Shi Zheng

Important people detection is to automatically detect the individuals who play the most important roles in a social event image, which requires the designed model to understand a high-level pattern. However, existing methods rely heavily on supervised learning using large quantities of annotated image samples, which are more costly to collect for important people detection than for individual entity recognition (eg, object recognition)... (read more)

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