Search Results for author:
Found 2 papers, 0 papers with code
DeCoILFNet: Depth Concatenation and Inter-Layer Fusion based ConvNet Accelerator
However, with the limited on-chip memory and computation resources of FPGA, meeting the high memory throughput requirement and exploiting the parallelism of CNNs is a major challenge.
Distributed, Parallel, and Cluster Computing
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm
Efficient and real time segmentation of color images has a variety of importance in many fields of computer vision such as image compression, medical imaging, mapping and autonomous navigation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
