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

A Multi-Method Evaluation of Police Use of Force Outcomes ...

Opinions or points of view expressed are those ... Department of Justice. A MULTI-METHOD EVALUATION OF POLICE USE OF FORCE OUTCOMES: FINAL REPORT TO THE NATIONAL INSTITUTE OF JUSTICE By Michael R. Smith, J.D., Ph.D. Robert J. Kaminski, Ph.D. Geoffrey P. Alpert, Ph.D. University of South Carolina Lorie A. Fridell, Ph.D.

  Multi, View

Logitech® Unifying Multi-Connect Utility Setup Instructions

Logitech® Unifying Multi-Connect Utility . Setup Instructions Logitech Unifying Receiver . One leave-in wireless receiver connects multiple compatible devices to a notebook computer. The tiny receiver stays in a notebook USB port and pairs with wireless peripherals at the office, at home, and in a laptop bag.

  Multi, Receiver, Logitech

The Leader Coach: A Model of Multi-Style Leadership

multi-styled leader, as he or she exercises a myriad of theoretically proven techniques by the practice and craft of his or her profession. The leader coach is defined by the author as an individual consultant, hired by a client organization to work with one or more individuals, who have supervisory authority over a group ...

  Multi

14. Design of plumbing systems for multi-storey buildings

ings and in multi-storey dwellings should be duplex, with each pump having 100% of the required pumping capacity for the building. Alternatively, an approved vacuum drainage system may be considered. 14.2.2 Vacuum drainage systems In a vacuum drainage system, the differential pressure between the atmosphere

  Multi

ST-28A Resale Exemption Certificate fillable

Wholesalers and buyers from other states not registered in Kansas should use the Multi-Jurisdiction Exemption Certificate, Form ST-28M, to purchase their inventory. HOWEVER, if the inventory item purchased by an out-of-state retailer who has sales tax nexus with Kansas is

  Multi, Exemption, Certificate, Exemption certificate

MULTI-POINT VEHICLE INSPECTION - GM Certified Service

MULTI-POINT VEHICLE INSPECTION Sample 11/5/2020 Repair Order: 1 Service Advisor: Dealer SM 2021 Vehicle Make Model SUV/Crossover VIN: 1GYS4JKJ6KR102419 Odometer: 23,444 mi *Courtesy battery testing can provide early warning of a potential battery failure. More extensive testing and analysis may be necessary to verify the

  Multi, Vehicle, Points, Inspection, Multi point vehicle inspection