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公开(公告)号:US12062154B2
公开(公告)日:2024-08-13
申请号:US17436516
申请日:2020-03-05
Inventor: Young Joo Jo , Jong Youl Park , Yu Seok Bae
CPC classification number: G06T5/50 , G06N3/045 , G06N3/08 , G06T2207/20081 , G06T2207/20084 , G06T2207/20224 , G06T2207/30201
Abstract: An image correcting method of the present invention includes: a step of performing a preprocessing process on an original image to generate a mask image including only an erased area of the original image; a step of predicting, by using generative adversarial networks, an image which is to be synthesized with the erased area in the mask image; and a step of synthesizing the predicted image with the erased area of the original image to generate a new image.
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公开(公告)号:US11593587B2
公开(公告)日:2023-02-28
申请号:US17325701
申请日:2021-05-20
Inventor: Youngwan Lee , Hyungil Kim , Jongyoul Park , Yu Seok Bae
IPC: G06K9/62 , G06T3/00 , G06T7/60 , G06T7/73 , G06T7/194 , G06T7/11 , G06T7/246 , G06T7/223 , G06V10/25 , G06V10/82
Abstract: Provided are an object detection system and an object detection method. An object detection system may include a feature map extraction module configured to receive an image for object detection and extract a feature map having multiple resolutions for the image; a bounding box detection module configured to classify a bounding box by applying a first group of convolutional layers to the feature map, and predict the bounding box by applying a second group of convolutional layers to the feature map; and a mask generation module configured to generate a mask for the shape of the object in the bounding box using the feature map.
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