ECA-Net: Efficient Channel Attention for Deep ...

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

Microsoft attention spans, Spring 2015 | @msadvertisingca ...

an impact on attention and broader cognitive functioning. Respondents were divided into three equal sized groups based on performance –low, medium, and high attention – each representing 1/3 of the sample. C X A F B K8 Is the letter a vowel or a consonant? K8 Is the number odd or even? 11 *See Appendix for additional methodological information

  Attention, Divided

SUPPORTING STUDENTS WITH ADHD Inclusive Classroom ...

educational, or work settings. Symptoms are divided into two categories of inattention and hyperactivity and impulsivity that can include behaviours like failure to pay close attention to details, difficulty organizing tasks and activities, excessive talking, fidgeting, or an inability to remain seated in appropriate situations.

  Attention, Divided

Strategies to improve Attention Skills following Traumatic ...

Divided attention This skill refers to our ability to do more than one thing at the same time. For instance, most people can drive a car and talk to their passenger, performing both skills effectively. Using this example, a brain injured person may find it difficult to listen to,

  Skills, Improves, Following, Attention, Divided, Traumatic, Improve attention skills following traumatic, Divided attention

Starting and Ending Presentations- Phrases

attention”. Match these functions to those sections. Starting Getting people’s attention/ Starting the introduction Introducing yourself Giving background information Explaining your aim Checking visuals and sound Giving a hook Showing awareness of the audience/ Connecting with the audience Explaining when to ask questions Thanking/ Welcoming

  Attention

APD General Orders Issued 11/19/2021 Austin Police …

The law enforcement officer shall be mindful of his responsibility to pay strict attention to the selection of means in discharging the duties of his office. Violations of law or disregard for public safety and property on the part of an officer are intrinsically wrong; they are self-defeating in that they instill in the public mind a like ...

  Attention

RISK MANAGEMENT & CORPORATE GOVERNANCE

attention earlier. _ Source: The Committee on the Financial Aspects of Corporate Governance, known as The Cadbury Report, 1992 207 Given the enormous collapse of market value during the current Financial Crisis, including in some cases the total elimination of banks as independent concerns, several aspects of these

  Attention

Trauma-Informed Care in Behavioral Health Services

The most common trauma was witnessing someone being badly injured or killed (cited by 35.6 percent of men and 14.5 percent of women). The second most common trauma was being involved in a fire, flood, or other natural

  Care, Trauma, Informed, Trauma informed care

BMI Work Registration Form

Work Registration Form Broadcast Music, Inc., 10 Music Square East, Nashville, TN 37203 Attn. Music Works Registration Dept. 615-401-2000 COMPLETE FORM INACCORDANCE WITH INSTRUCTIONS ON THE REVERSE SIDEAND RETURN TO BMI.

  Form, Registration, Work, Work registration form