Bottom-Up and Top-Down Attention for Image Captioning …

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

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

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-

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

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.

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

Impact of Visual Aids in Enhancing the Learning Process ...

The analysis of the data indicated that the majority of the teachers and students had positive perceptions of the use of visual aids. Keywords: Visual aids, resources, teacher trainings, ... Visual aids grow the accurate image when the students see and hear properly.

  Analysis, Image, Visual

Visual Pleasure and Narrative Cinema - The Slide Projector

Visual Pleasure and Narrative Cinema (1975) - Laura Mulvey ... them on the silent image of woman still tied to her place as bearer of meaning, not maker of meaning. There is an obvious interest in this analysis for feminists, a beauty in its exact rendering of the

  Analysis, Image, Visual, Laura, Mulvey, Laura mulvey

Tourism Development Strategies, SWOT analysis and ...

Tourism Development Strategies, SWOT analysis and improvement of Albania’s image. By Msc. 1Eriketa Vladi Abstract Albania has a range of historical, natural and cultural potentials. The marketing strategies prepared with the aim to create and develop Albania’s tourism and at what stage is the image of Albania is the subject of this paper.

  Analysis, Image

Power of Visual Learning and in Early Childhood Education

Visual learning is about how we gather and process information from illustrations, graphs, symbols, photographs, icons and other visual

  Visual

Robust Principal Component Analysis?

Robust Principal Component Analysis? 11:3 polynomial-time algorithm with strong performance guarantees under broad condi-tions.3 The problem we study here can be considered an idealized version of Robust PCA, in which we aim to recover a low-rank matrix L 0 from highly corrupted measure- ments M = L 0 + S 0.Unlike the small noise term N 0 in classical PCA, the entries in S

  Analysis

A Simplified Guide To Forensic Audio and Video Analysis

audible.’This’in’turn’helps’investigators,’lawyers’and’jurors’better’conduct’their’ duties.’ Principles of Forensic Audio and Video Analysis

  Analysis