Samsung Electronics Co., Ltd.

Pingjun Li

Hui Zhang

Byung In Yoo

Hana Lee

Yi Zhou

Yi Qin Yu

Hao Guo

Yingying Jiang

Xiaobing Wang

Zhenbo Luo

Xiangyu Zhu

A processor-implemented method includes: determining a probability that a pixel of an input image belongs to each of a plurality of preset categories; and determining a category of the pixel to be a category corresponding to either one or both of a plurality of category areas and a category determined based on the probability that the pixel belongs to each of the preset categories, based on a result of comparing, to a preset threshold value, a probability that the pixel belongs to the category corresponding to the category areas.

Method and apparatus with optimization and prediction for image segmentation

A processor-implemented method with video processing includes: determining a first image feature of a first image of video data and a second image feature of a second image that is previous to the first image; determining a time-domain information fusion processing result by performing time-domain information fusion processing on the first image feature and the second image feature; and determining a panoptic segmentation result of the first image based on the time-domain information fusion processing result.

Apparatus and method with multi-image panoptic segmentation

The present application discloses an image processing method, apparatus, electronic device and computer readable storage medium. The image processing method comprises detecting a text region in an image to be processed, recognizing the text region to obtain a text recognition result. In this application, the text recognition in the image to be processed is realized, the recognition manner for the text in the image is simplified, and the recognition effect for the text is improved.

Image processing method, apparatus, electronic device and computer readable storage medium

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Beijing, China

Pingjun Li