Rethinking Semantic Segmentation From a Sequence-to ...

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

Feminist Principles

may require rethinking current ways of working in INGOs and the aid sector more generally. We know too that putting feminist principles and values into practice requires strong individual, collective and organizational intention to align our approaches with …

  Principles, Rethinking, Feminists, Feminist principles

Assessment of, for and as Learning

It provides them with ideas for adjusting, rethinking, and articulating their understanding, which will lead to another round of feedback and another extension of learning.” Rethinking Classroom Assessment with Purpose in Mind” Page 48. Assessment . as . Learning Feedback

  Assessment, Rethinking, Of assessment

Innovation & Creativity

rethinking organizational designs. We have made organizations fit Newtonian mechanical ... present concepts of leadership must change. Gone is the heretical model with the person at the top controlling everyone by holding all ... and they need to express themselves through their work. A mind set foreign to many employers.

  Concept, Needs, Rethinking

Grade Bands, Learning Growth, and Dimensions of Learning

Pratt, Sarah Smitherman. “Complex Constructivism: Rethinking the Power Dynamics of ‘Understanding’.” Journal of Canadian Association for Curriculum Studies, vol. 6, no. 1, Spring/Summer 2008, pp. 113–132. Stray, Janicke Heldal, and Emil Sætra. “Teaching for Democracy: Transformative Learning Theory Mediating Policy and Practice.”

  Growth, Learning, Band, Dimensions, Rethinking, Learning growth, And dimensions of learning

Security Threats, Challenges, Vulnerability and Risks

The concepts of vulnerability and risks are not only used in the context of foreign and ... challenges, vulnerabilities and risks has stressed a dual need for: a) more precise ... For a rethinking or a reconceptualization of the “security concept” (see: ...

  Concept, Needs, Rethinking, The concept

Teaching writing: Guide for Years 1–3

Think aloud about the possible need for images to support the text. Decide where the images could be placed. Step 5: Rethinking and revising . Invite another adult to provide constructive feedback on the draft (focus on meaning). Seek feedback from the children: • Is the meaning clear? • Is the message communicated effectively?

  Needs, Rethinking