EfficientDet: Scalable and Efficient Object Detection

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

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

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

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

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.

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

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

Computer Bus Structures

31 SCSI Bus (cont’d) zStatus Phase – The target sends a single status byte asynchronously zMessage In Phase – The last information that is transferred in the connection is typically the Command Complete message zBack to Bus Free Phase

  Structure, Bus structures

Guide to Energy Efficient Windows

Even the most energy-efficient windows can result in a drafty house and moisture condensation if they are not properly installed. Make sure to follow manufacturer instructions, seek out trained installers, and watch for lead dust. Most homes built before 1978 contain lead paint, which can pose a serious health hazard during home renovation.

  Efficient

PROBABILITY AND STATISTICS FOR ECONOMISTS

Preface This textbook is the first in a two-part series covering the core material typically taught in a one-year Ph.D. course in econometrics.

Skills development for renewable energy and energy ...

31 41 45 46. Skills development for renewable energy and energy effcient jobs - Discussion paper on solar energy demands 4 ... By moving to more efficient production and energy use, switching to cleaner fuels, transportation that is more efficient and cleaner electricity supply, the further effects of

  Energy, Efficient, Renewable, Renewable energy

WRTSIL 31

as the world’s most efficient 4-stroke diesel engine WRTSIL 31. The Wärtsilä 31 represents a new generation of medium speed engines – one designed to set a benchmark in efficiency and overall emissions performance. This is the introduction of a 4-stroke engine which has the best fuel economy of

  Efficient, Wrtsil 31, Wrtsil

fzhangxiangyu,zxy,linmengxiao,sunjiang@megvii.com arXiv ...

maintaining performance. Quantization [31,27,39,45,44] and factorization [22,16,18,37] are proposed in litera-ture to reduce redundancy in calculations to speed up in-ference. Without modifying the parameters, optimized con-volution algorithms implemented by FFT [25,35] and other methods [2] decrease time consumption in practice. Distill-

Strategic Framework 2022-31

Strategic Framework 2022-31 5 Introduction 1. This document presents the Strategic Framework 2022-2031, which has been developed in the context of recent global developments, global and regional trends and major challenges in the areas of

Comparing Energy Costs per Mile for Electric and Gasoline ...

For more information, visit avt.inl.gov INL/MIS-11-22490 Comparing Energy Costs per Mile for Electric and Gasoline -Fueled Vehicles . The fuel cost of driving an electric vehicle depends on the cost of electricity per kilowatt-hour (kWh) and the energy

  Mile, Per mile

HPS Sentinel Energy Efficient Distribution Transformers

Energy Efficient Distribution Transformers D A C B G X4 E F CABLE ENTRY A D C B G X4 E F CABLE ENTRY 15-45 kVA Models 75 kVA Models 15-45 kVA Models 75 kVA Models www.automationdirect.com Transformers tTXF-31 1-800-633-0405 For the latest prices, please check AutomationDirect.com.

  Distribution, Energy, Efficient, Transformers, Sentinel, Sentinel energy efficient distribution transformers