Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Donghyuk Kwon

Seungwon Lee

Leesup Kim

Minkyoung Cho

Jaekang Shin

A learning method of an incremental learning model includes setting a searching range of mask weights based on either one or both of a distribution of mask weights of a binary mask corresponding to a filter of a pretrained model and a learning rate-related parameter, identifying a targeted mask weight in the searching range of the mask weights, updating the targeted mask weight based on the binary mask and the pretrained model, and updating a portion of the binary mask based on the updated targeted mask weight and a preset reference value.

Incremental learning system with selective weight updates

An Image processing method and apparatus are provided. The Image processing method includes obtaining a kernel that is deterministically defined based on an extension ratio of a first feature map, up-sampling the first feature map to a second feature map by performing a transposed convolution operation between the first feature map and the kernel, and outputting the second feature map.

Method and apparatus with image processing

A processor-implemented data processing method includes: predicting whether there will be an inefficient section, of a neural network set to be implemented, during a processing of data, based on a hardware configuration for processing the data; adjusting a layer parameter corresponding to the inefficient section of the neural network; and processing the data using the neural network with the adjusted layer parameter.

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Seoul, South Korea

Donghyuk Kwon