Detection of main persons in a snapshot is proposed in this paper. The proposed method uses feature maps from Mask RCNN [1] and depth information from the depth estimation model [2] to detect main persons in the photo. Our research aims to construct a deep neural network model to estimate the main person degree map from these two inputs. Based on the estimated importance map, we performed post-processing and confirmed that only important persons could be extracted.
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