Scale Network
Found 6 free book(s)EfficientNet: Rethinking Model Scaling for Convolutional …
arxiv.orgmodel scaling heavily depends on the baseline network; to go even further, we use neural architecture search (Zoph & Le,2017;Tan et al.,2019) to develop a new baseline network, and scale it up to obtain a family of models, called EfficientNets. Figure1summarizes the ImageNet perfor-mance, where our EfficientNets significantly outperform
Deep Unfolding Network for Image Super-Resolution
openaccess.thecvf.comferent scale factors via a single end-to-end trained model (see Fig. 1). In this paper, we propose a deep unfolding super-resolution network (USRNet) to bridge the gap between learning-based methods and model-based methods. On one hand, similar to model-based methods, USRNet can effec-tively handle the classical degradation model (i.e., Eq. (1))
MIND: A Large-scale Dataset for News Recommendation
msnews.github.iotitles using CNN network by incorporating both word embeddings and the entity embeddings in-ferred from knowledge graphs. Wu et al. (2019a) proposed an attentive multi-view learning frame-work to represent news articles from different news texts such as title, body and category. They used an attention model to infer the interest of users
5G Network Architecture and FMC
www.itu.intshows the interaction that exist between the NF services in the network functions described by point-to-point reference point (e.g. N11) between any two network functions (e.g. AMF and SMF). Service-based representation, where network functions (e.g. AMF) within the control plane enables other authorized network functions to access their services
The Network Architect’s Guide to Adopting Zero Trust
www.zscaler.comThe end goal with a software-defined architecture is to decouple application access from network access. Users will no longer need to be placed on the network, private applications are only accessible to authorized users, IP addresses never exposed to the internet and the complexity of managing network segments, FW policies and ACLs goes away.
Grading Adverse Events - National Institutes of Health
rsc.niaid.nih.govthe applicable network standards for reporting abnormal pregnancy outcomes on the CRFs. Determining Severity Grade for Parameters between Grades If the severity of an AE could fall in either one of two grades (i.e., the severity of an AE could be either grade 2 or grade 3), sites should select the higher of the two grades. Laboratory Values