Adobe, Inc.

Xuaner Zhang

Zhe Lin

Elya Shechtman

Sohrab Amirghodsi

Connelly Barnes

Zijun Wei

Yuqian Zhou

Florian Kainz

Mang Tik Chiu

Embodiments are disclosed for performing wire segmentation of images using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input image, generating, by a first trained neural network model, a global probability map representation of the input image indicating a probability value of each pixel including a representation of wires, and identifying regions of the input image indicated as including the representation of wires. The disclosed systems and methods further comprise, for each region from the identified regions, concatenating the region and information from the global probability map to create a concatenated input, and generating, by a second trained neural network model, a local probability map representation of the region based on the concatenated input, indicating pixels of the region including representations of wires. The disclosed systems and methods further comprise aggregating local probability maps for each region.

Wire segmentation for images using machine learning

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Union City, CA, United States of America

Xuaner Zhang