FCOS: Fully Convolutional One-Stage 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

SALESFORCE CERTIFIED PLATFORM DEVELOPER I

Has experience with object-oriented languages such as Java, JavaScript, C#, Ruby, and .NET. Has experience with data-driven applications and relational databases. Has experience with Model View Controller (MVC) architecture and component-based architecture. Has invested time in studying the resources listed in this exam guide and the

  Object

You can describe the motion of an object by its position ...

motion of an object by its position, speed, direction, and acceleration. 4 Linear Motion An object is moving if its position relative to a fixed point is changing. 4.1 Motion Is Relative . 4 Linear Motion Even things that appear to be at rest move.

  Object, An object

Subject and Object Pronouns

Plural object pronouns are us, you, and them. When you use a person's name and a pronoun in a compound object, be sure to use an object pronoun. The teacher asked him about his project. It seemed brilliant to me. This project was fun for James and me. Directions Write S if the underlined word is a subject pronoun. Write 0 if the word is an ...

  Object, Pronouns, Object pronouns, An object

A GUIDE TO PROGRAMMING IN JAVA - Mr. Barrett's Class

1. Define terminology associated with object-oriented programming. 2. Explain why Java is a widely used programming language. 3. Create Java applications. 4. Describe the process involved in executing a Java application. 5. Display and format program output. 6. Annotate code properly with comments, formatting, and indentation. 7.

  Programming, Java, Object

8-Ball Rules 1. OBJECT OF THE GAME.

1. OBJECT OF THE GAME. Eight Ball is a call shot game played with a cue ball and fifteen object balls, numbered 1 through 15. One player must pocket balls of the group numbered 1 through 7 (solid colors), while the other player has 9 thru 15 (stripes). THE PLAYER POCKETING HIS GROUP FIRST AND THEN LEGALLY POCKETING THE 8-BALL WINS THE GAME. 2 ...

  Object

6. CHARACTER EVIDENCE

C. Character Evidence in Criminal Cases 1. General rule. Character evidence is more frequently introduced in criminal cases than in civil. Although the same general presumption against the use of character evidence applies, defendants

  Evidence, Character, Character evidence

Perceptual Generative Adversarial Networks for Small ...

Small object detection is much more challenging than nor-mal object detection and good solutions are still rare so far. Some efforts [4, 25, 18, 39, 23, 1] have been devoted to addressing small object detection problems. One com-mon practice [4, 25] is to increase the scale of input im-ages to enhance the resolution of small objects and produce

  Network, Small, Object, Adversarial, Generative, Perceptual, Perceptual generative adversarial networks for small

Object Oriented Design - University of Colorado Boulder ...

object can be accessed from outside A body that implements the operations Instance variables to hold object state Objects and classes are different; a class is a type, an object is an instance State and identity is associated with objects

  Object, Oriented, Object oriented, An object

Direct / Indirect Object

Direct / Indirect Object Provided by the Academic Center for Excellence 1 Reviewed March 2010 Direct / Indirect Object In a sentence, the subject and verb may be followed by an object. An object is a noun or pronoun that gives meaning to the subject and verb of the sentence. Not all sentences contain objects, but some may contain one or more.

  Object, An object