Characterizing diverse handheld apps for customized hardware acceleration
PV Rengasamy, H Zhang… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance
and energy efficiency. While these IPs are extremely useful for accelerating parts of a …
and energy efficiency. While these IPs are extremely useful for accelerating parts of a …
Fmslic: Fast memory-efficient structure for implementation of slic on fpga
M Mighani, A Khakpour - Circuits, Systems, and Signal Processing, 2023 - Springer
Superpixel segmentation has been widely used in computer vision as a preprocessing to
reduce the number of image primitives for subsequent image processing tasks. Simple …
reduce the number of image primitives for subsequent image processing tasks. Simple …
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
V Leon - arXiv preprint arXiv:2302.12194, 2023 - arxiv.org
The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …
platforms to sustain increased power efficiency, while providing sufficient performance …
Superpixel accelerator for computer vision applications on arria 10 soc
Superpixel segmentation is a very popular image segmentation technique used in various
computer vision tasks. Recently, a number of superpixel algorithms have been proposed in …
computer vision tasks. Recently, a number of superpixel algorithms have been proposed in …
Real–time memory efficient SLIC accelerator for low–power applications
PA Khamaneh, A Khakpour, M Shoaran… - Multimedia Tools and …, 2022 - Springer
Superpixel segmentation is one of the popular segmentation methods used in computer
vision. One of the major algorithms in superpixel segmentation literature is the Simple Linear …
vision. One of the major algorithms in superpixel segmentation literature is the Simple Linear …
Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray
R Pradhan, KC Santosh - International Conference on Recent Trends in …, 2023 - Springer
In recent years, the utilization of graph-based deep learning has gained prominence, yet its
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
Fp-slic: A fully-pipelined fpga implementation of superpixel image segmentation
A superpixel segment is a group of pixels that carry similar information. The Simple Linear
Iterative Clustering (SLIC) is a well-known algorithm for generating superpixels that offers a …
Iterative Clustering (SLIC) is a well-known algorithm for generating superpixels that offers a …
A-SLIC: acceleration of SLIC superpixel segmentation algorithm in a co-design framework
In this work, we present an optimized pipelined hardware implementation of the accelerated
Simple Linear Iterative Clustering algorithm (A-SLIC) for superpixel segmentation. The …
Simple Linear Iterative Clustering algorithm (A-SLIC) for superpixel segmentation. The …
Fpga accelerator for super-pixel segmentation featuring clear detail and short boundary
M MIYAMA - IIEEJ Transactions on Image Electronics and Visual …, 2017 - jstage.jst.go.jp
Super-pixel segmentation is to over-divide an image to get object boundaries. This is
positioned as preprocessing for advanced image processing such as image division and …
positioned as preprocessing for advanced image processing such as image division and …
Opencl superpixel implementation on a general purpose multi-core cpu
Multi-, many-core, hybrid processors and parallel programming languages are slowly
becoming pervasive in main-stream computing. It is expected that they will affect a large …
becoming pervasive in main-stream computing. It is expected that they will affect a large …