Samsung Electronics Co., Ltd.

Seoul National University

Snu Rdb Foundation

Gaon An

Hyun Oh Song

Seungju Han

Jang-Hyun Kim

Seong-Jin Park

Wonho Choo

Seungyong Moon

Hosan Jeong

A method and apparatus for classification using a neural network. A classification apparatus includes at least one processor and a memory. The memory is configured to store a classifier and a preprocessor including a defensive noise generator. The at least one processor generates defensive noise from an input image through the defensive noise generator in the preprocessor, generates a combined image by combining the input image and the defensive noise, and outputs a classification result by inputting the combined image to the classifier.

Method and apparatus for classification using neural network

A method includes obtaining a color transformation matrix that removes color distortion of an original color histogram of a target color space for an input image of an original color space; obtaining a color transformation image of the original color space from which color distortion of the input image is removed using the color transformation matrix; and obtaining a space transformation image with a minimum target loss value between an output vector of a neural network for one of candidate images and each of a plurality of candidate class vectors of the input image, the candidate images being spaced apart from the color transformation image of the original color space by a distance less than a threshold.

Image recognition method and apparatus, image preprocessing apparatus, and method of training neural network

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Seoul, South Korea

Gaon An