Abstract:
A method for deep metric learning per hierarchical step of multi-labels and few-shot inference using the same is provided, which includes sampling a plurality of N multiplets from a learning data set that is expressed by hierarchical multi-labels; configuring the N multiplets into triplets or quadruplets so as to correspond to the number of classes in each hierarchy; performing a metric learning per hierarchical step for a deep neural network model based on the configured triplets and quadruplets; and distributing, to an embedded device, the deep neural network model from which a loss function is removed as the metric learning is completed.
Abstract:
Disclosed are a method of providing an embedded software development tool for supporting an embedded software development environment based on native building, and an apparatus thereof. The method includes extracting information about a toolchain according to a request by the host system, and providing the extracted information to the host system, generating a project execution file by receiving a project, to which the information about the toolchain is applied, from the host system, and building the project, and generating a project execution result by executing the project execution file, thereby providing an embedded software development environment capable of minimizing the economic costs incurred for acquiring a cross toolchain corresponding to hardware and a platform of a target system and performing a development process when embedded software is developed.
Abstract:
Provided are a tool for supporting open computing language (OpenCL) application software development for an embedded system and a supporting method thereof. The tool in conjunction with a target system includes a project management unit configured to separate and store OpenCL application software constituted of a host program and a kernel program into a host source code corresponding to the host program and a kernel source code corresponding to the kernel program, and manage a tool-chain corresponding to an OpenCL platform of the target system, and a builder configured to determine a compile type of the kernel source code and determine whether the kernel source code is built in response to the compile type. Accordingly, it is possible to rapidly provide a tool for supporting OpenCL application software development that can develop OpenCL application software for an embedded system.