MASK-BASED FRAMEWORK DEVICE FOR CONTINUAL LEARNING OF TEMPORAL ACTION SEGMENTATION AND ITS OPERATING METHOD

Abstract

A mask-based framework device for continual learning of temporal action segmentation includes an interface unit configured to perform data input/output and a framework model unit configured to perform temporal action segmentation, in which the framework model unit includes a first framework model trained through a previous task and a second framework model trained through a current task from the first framework model, and each of the first framework model and the second framework model receive image data and output binary action mask information and action class classification information.

CPC Classifications