Two-Stream Adaptive Graph Convolutional Networks for ...

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

INQUIRY-BASED LEARNING - National Action Alliance for ...

INQUIRY-BASED LEARNING: AN APPROACH TO EDUCATING AND INSPIRING KIDS Inquiry-based learning is not a new technique in fact, it goes back to education philosopher John Dewey but it does stand in contrast to the more structured, curriculum-centered frame - work of today s schools. Asking questions is at the heart of inquiry-based learning.

  Based, Learning, Action, Inquiry, Inquiry based learning

arXiv:1801.07455v2 [cs.CV] 25 Jan 2018

property of CNNs to skeleton based action recognition. The result of this attempt is the ST-GCN model. 3.1 Pipeline Overview Skeleton based data can be obtained from motion-capture devices or pose estimation algorithms from videos. Usually the data is a sequence of frames, each frame will have a set of joint coordinates.

  Based, Action, Based action

Project-Based Learning by Design

the action research. The researcher took the two sections at the bottom of the list which happens to be two of his classes. They got the lowest mean scores which the teacher researcher think will be a great venue to test the effectiveness of Project-Based Learning method. Section Gold is made up of 21 boys and 23 girls. All 44 students have low SES

  Based, Project, Learning, Action, Project based learning

Protection - Guidelines for Integrating Gender-Based ...

This Thematic Area Guide (TAG) on protection and gender-based violence is part of the larger comprehensive Guidelines for Integrating Gender-Based Violence Interventions in Humanitarian Action: Reducing risk, promoting resilience and aiding recovery (IASC, 2015, available at <www. gbvguidelines.org>).

  Based, Protection, Action

Beyond Science-Based Targets: A BLUEPRINT FOR …

BEYOND SCIENCE-BASED TARGETS: A BLUEPRINT FOR CORPORATE ACTION ON CLIMATE AND NATURE INTRODUCTION 1 An element of confusion has been interpretation of pathways from IPCC’s Special Report on 1.5. Figure 2.5 from this report clearly reflects that all viable 1.5°C pathways (across SSP 1, 2 & 5) require deep emissions reductions.

  Based, Climate, Action

A Model of Learning Objectives - Iowa State University

based on A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives *Metacognitive knowledge is a special case. In this model, “metacognitive knowledge is knowledge of [one’s own] cognition and about oneself in relation to various subject matters . . . ” (Anderson and Krathwohl, 2001, p. 44).

  Based

Trade-Based Money Laundering - Financial Action Task Force

The Financial Action Task Force (FATF) is an independent inter-governmental body that develops and promotes policies to protect the global financial system against money laundering, terrorist financing and the financing of ... Risk-based approach to trade-based money laundering 16

  Based, Action

UPDATED GUIDANCE FOR A RISK-BASED APPROACH

The Financial Action Task Force (FATF) is an independent inter-governmental body that develops and promotes ... based approach to VAs and VASPs in June 2019; the Guidance was updated in October 2021. It is intended to both help national authorities in …

  Based, Action