Semantics,Buildings,Automobiles,Computer architecture,Remote sensing,Testing,ShapeSemantic segmentation is currently a mainstream method for addressing several remote sensing applications, achieving recently remarkable performance by employing deep learning techniques. In particular, this is the case for pixel-...
The main advantage of the new upsampling layer lies in that with a relatively lower-resolution feature map such as 1/16 or 1/32 of the input size, we can achieve even better segmentation accuracy, significantly reducing computation complexity. This is made possible by 1) the new upsampling ...
Achieving high image quality is an important aspect in an increasing number of wireless multimedia applications. These applications require resource efficient error correction hardware to detect and correct errors introduced by the communication channel.
We also design a loss function to accurately segment regions of objects, crops, and weeds in low-light images to avoid training overfitting and balance the learning task for object, crop, and weed segmentation. There are no existing low-light public databases, and it is difficult to obtain ...
(and hence an architecture based on the code) can tolerate. Moreover, decoder performance has a direct impact on the resource requirements of fault-tolerant quantum computation4. In addition, the runtime of a decoder has a large bearing on the clock speed of a quantum computer and may be ...
His research interests include computer arithmetic, digital design automation, and computer architecture. Dr. Ko is a senior member of IEEE computer society. ☆ Reviews processed and approved for publication to the Editor-in-Chief Dr. Manu Malek....
Learning curves of models trained for the segmentation of EX, MA, SE, and HE are shown in (a–d), respectively. Full size image The step-by-step training strategy of our semi-supervised architecture is illustrated in Fig.2. The single encoder part is comprised of five convolutional layers...
As an enhancement of the state-of-the-art solutions, a high-throughput architecture of a decoder for structured LDPC codes is presented in this paper. Than... F Luca,R Massimo,EL Nicola,... - 《Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences》 被引量: 17...
High Throughput LDPC Decoders Using a Multiple Split-Row Method Tinoosh Mohsenin and Bevan M. Baas VLSI Computation Lab, ECE Department University of California, Davis Outline Introduction to LDPC Codes and Decoders Multi-Split-Row Decoding Method Implementing Multi-Split-Row Decoders Conclusion ...
<div p-id="p-0001">A method for optimizing the performance of a media acceleration engine which includes providing input data to a replica of a media acceleration engine wherein the input data includi