Feb 28, 2017 · In this study, a scalable bi-level parallel object detection framework based on heterogeneous manycore cluster was established to improve object ...
Abstract—Performance of high resolution image process is one of the kernel problems that must be addressed to promote the development of embedded system.
In this study, a scalable bi-level parallel object detection framework based on heterogeneous manycore cluster was established to improve object detection ...
A Scalable Object Detection Framework Based on Embedded ... - dblp
136.199.55.186 › cyberc › GaoHWJ16
Bibliographic details on A Scalable Object Detection Framework Based on Embedded Manycore Cluster.
A Scalable Object Detection Framework Based on Embedded Manycore Cluster ... A Scalable Object Detection Framework Based on Embedded Manycore Cluster.
Jun 20, 2024 · In this paper, we focus on design choices of neural network architectures for efficient object detection computation based on FLOP and propose ...
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[PDF] Scalable Neuro-Symbolic Reasoning via Clustered Embeddings
proceedings.kr.org › kr2022-0044-...
We com- plement a two-stage (perception and reasoning) neural net- work architecture designed to solve a downstream task end- to-end with a symbolic ...
It provides a comprehensive study on object representation; Convolution Neural Network (CNN) and different Deep Convolution Neural Network architecture. It ...
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This paper proposed a novel method to represent local regions around keypoints, called lifetime. Lifetime of a keypoint is used to describe its stability.
A hardware architecture based on the object detection system of Viola and Jones using Haar-like features is proposed, able to discover faces in real-time ...