Context Encoders: Feature Learning by Inpainting

Squeeze-and-Excitation Networks - openaccess.thecvf.com

Squeeze-and-Excitation Networks Jie Hu1∗ Li Shen2∗ Gang Sun1 hujie@momenta.ai lishen@robots.ox.ac.uk sungang@momenta.ai 1 Momenta 2 Department of Engineering Science, University of Oxford Abstract Convolutional neural networks are built upon the con-

  Network, Excitation, Squeeze and excitation networks, Squeeze

Finding Tiny Faces in the Wild With Generative Adversarial ...

faces, which are unfriendly for the face classifier. Toward-s this end, we design a refinement sub-network to recover some detailed information. In the discriminator network, the basic GAN [17, 12, 8] is trained to distinguish the real and fake high resolution images. To classify faces or non-

  Faces

Class-Balanced Loss Based on Effective Number of Samples

and large-scale datasets including ImageNet and iNatural-ist. Our results show that when trained with the proposed class-balanced loss, the network is able to achieve signifi-cant performance gains on long-tailed datasets. 1. Introduction The recent success of deep Convolutional Neural Net-works (CNNs) for visual recognition [26, 37, 38, 16] owes

  Scale, Visual, Recognition, Visual recognition

What Have We Learned From Deep Representations for …

what these powerful models actually have learned. In this paper we shed light on deep spatiotemporal net-works by visualizing what excites the learned models us-ing activation maximization by backpropagating on the in-put. We are the first to visualize the hierarchical features

  What, Have, Learned, What we have learned, Have learned

Frustum PointNets for 3D Object Detection From RGB-D Data

Frustum PointNets for 3D Object Detection from RGB-D Data Charles R. Qi1∗ Wei Liu2 Chenxia Wu2 Hao Su3 Leonidas J. Guibas1 1Stanford University 2Nuro, Inc. 3UC San Diego Abstract In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.

ESRGAN: Enhanced Super-Resolution Generative Adversarial ...

ESRGAN: EnhancedSuper-Resolution Generative Adversarial Networks Xintao Wang 1, Ke Yu , Shixiang Wu2, Jinjin Gu3, Yihao Liu4, Chao Dong 2, Yu Qiao , and Chen Change Loy5 1 CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong 2 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences 3 The Chinese University of Hong Kong, …

  Network, Adversarial, Generative, Generative adversarial, Generative adversarial networks

RegularFace: Deep Face Recognition via Exclusive ...

RegularFace: Deep Face Recognition via Exclusive Regularization Kai Zhao Jingyi Xu Ming-Ming Cheng ∗ TKLNDST, CS, Nankai University kaiz.xyz@gmail.com cmm@nankai.edu.cn

  Zhao

Protecting World Leaders Against Deep Fakes

Protecting World Leaders Against Deep Fakes Shruti Agarwal and Hany Farid University of California, Berkeley Berkeley CA, USA {shrutiagarwal, hfarid}@berkeley.edu

Auto-DeepLab: Hierarchical Neural Architecture Search for ...

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu1∗, Liang-Chieh Chen 2, Florian Schroff2, Hartwig Adam2, Wei Hua2, Alan Yuille1, Li Fei-Fei3 1Johns Hopkins University 2Google 3Stanford University Abstract Recently, NeuralArchitectureSearch(NAS)hassuccess-

PointNet: Deep Learning on Point Sets ... - CVF Open Access

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Charles R. Qi* Hao Su* Kaichun Mo Leonidas J. Guibas Stanford University

  Open, Learning, Points, Deep, Sets, Pointnet, Deep learning on point sets

Serious Violence Strategy - GOV.UK

crime plans) and work in partnership to tackle the serious violence that damages communities. The strategy sets out a new challenge for . Community Safety Partnerships and other local partnerships. We will put measures in place to help them …

  Work, Violence, Serious, Tackle, Serious violence

X Teleworking during the COVID-19 pandemic and beyond

agreeing on the location of the work (at the home of the employee or elsewhere) there are several other aspects that need to be clarified, namely the working hours or schedule, the communication tools to be used, the work to be accomplished, the supervisory mechanisms and the arrangements for reporting on the work undertaken.

  Work

THE INTERNATIONAL JEW - magtudin.org

Jew ” series of articles: " The work which we describe as Studies in the Jewish Question, and which is variously described by antagonists as “ the Jewish campaign,” “ the atuck on the Jews,” “ the anti-Semitic pogrom,” and so forth, ... dealing in …

  International, Work, The international jew

Wider impacts of COVID-19 on physical activity ...

identified as high priority for further work was older people. This study looks at how the wider impacts of COVID-19 have affected older people (over 65 year olds), with a focus upon deconditioning and falls. Deconditioning – the loss of physical, psychological, and functional capacity due to inactivity – can occur rapidly in older adults ...

  Work

Indirect Cost Policy - Bill & Melinda Gates Foundation

• Question: How does the calculation of indirect costs work for the primary grantee and the sub‐grantee? Answer: The primary grantee receives indirect cost allowances on the total budget which includes its direct internal costs and sub‐granted or sub‐contracted costs. The ‘sub‐granted’ or

  Work

THE POWER OF EDUCATION TO FIGHT INEQUALITY

Feb 21, 2018 · public education to tackle growing inequality and bring us closer together. To achieve this, education must be both of good quality and equitable; it should be free, universal, adequately funded, with well-supported teachers, and accountable public oversight. Fairer taxation of the wealthiest can help pay for it.

  Education, Tackle