Dual Attention Network for Scene Segmentation

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.

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 [email protected] [email protected] [email protected] 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 [email protected] [email protected]

  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

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

SAN MAR SIZE CHARTS - s7d5.scene7.com

© 2015 Cintas 800.UNIFORM www.cintas.com SAN MAR SIZE CHARTS Women’s Sizes Size XS S M L XL 2XL 3XL 4XL 5XL 6XL Size 2 4 / 6 8 / 10 12 / 14 16 / 18 20 / 22 24 / 26 ...

  Size

Forensic Evidence and Crime Scene Investigation

The size of the crime scene (e.g. universal, macroscopic, microscopic scene). This appears relatively simple. However, sometimes it is not a clear . cut process in a complex situation. While sometimes useful to focus on significant evidence, crime scene personnel should understand these classification systems and how to develop multiple ...

  Evidence, Investigation, Size, Crime, Forensic, Scene, Forensic evidence and crime scene investigation

Emergency Vehicle Size and Weight Regulation Guideline

scene of a fire or other emergency. But before they can get to the scene, these vehicles must be moved from their place of manufacture, often crossing through ... Federal truck size and weight regulations are established in 23 CFR Part 658 – Truck Size and Weight, Route Designations – Length, Width and Weight

  Size, Scene

Standard Guide for Crime Scene Photography

Jun 26, 2020 · Crime scene images are scene documentation that may be introduced as evidence. It is ... Photographs should be captured with a scale anytime the relative size of an item is in question; however, if using a scale, the photographer shall be certain a photograph is first captured without the scale.

  Size, Scene

Chapter 10 Crime Scene Reconstruction INTRODUCTION ...

Crime Scene Reconstruction INTRODUCTION Crime scene reconstruction is the process of determining or eliminating the events and actions that occurred at the crime scene through analysis of the crime scene pattern, the location and position of the physical evidence, and the laboratory examination of the physical evidence.

  Reconstruction, Crime, Scene, Crime scene reconstruction

SIZE CHARTS - Scene7

size charts size 1x 2x 3x 16w 18w 20w 22w 24w 26w bust 44 46 48 50 52 54 natural waist 38 ¾ 40 ¾ 42 ¾ 44 ¾ 46 ¾ 48 ¾ hips 39 40 41.5 43 44.5 46.5 if you wore carhartt men’s gear to work, find the women’s size that works better for you

  Size

Labels to Street Scene Labels to Facade BW to Color

scene into another, given sufficient training data (see Figure 1). Traditionally, each of these tasks has been tackled with separate, special-purpose machinery (e.g., [16,25,20,9, 11,53,33,39,18,58,62]), despite the fact that the setting is always the same: predict pixels from pixels. Our goal in this paper is to develop a common framework for ...

  Scene