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

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

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

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.

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

Practical procedures Interpretation/Assessment Chest ...

place the chest piece of the stethoscope flat on the patient’s chest using gentle pressure. 11. Using a ‘stepladder’ approach (Fig 4a) listen to breath sounds on the anterior chest. This technique allows you to com-pare one side of the chest with the other PETER LAMB in a systematic manner and detect any asymmetry. The stethoscope should ...

  Patients, Approach, Chest

CLINICAL SKILLS: THE 'DR ABCDE' ASSESSMENT

Approach with care D: Assess for danger R: Evaluate patient response A: Airway If the patient is talking then the airway is patent If not - put your face sideways by the patient: Look for: Obstructions in the airway Chest movements Cyanosis Feel for: Breath on your cheek Listen for: For breath sounds

  Patients, Approach, Chest

Malignant Pleural Effusion - American Thoracic Society

and spraying the chemical onto the inside of the chest wall in the pleural space. You will need to stay in the hospital with a chest tube in place for a few days. The main advantage of this approach is to hopefully prevent future fluid build-up. You may have a temporary drop in your oxygen level and you may need medicine for some pain for a few ...

  American, Approach, Society, Chest, Thoracic, American thoracic society

Diagnostic Approach to Hip Pain - University of Michigan

•Patient actively flexes the opposite hip to the chest while the leg behind examined is flexed at the knee over the edge of the exam table •Positive test is extension of the resting leg at the knee •Suggests tightness in the rectus femoris muscle Images from: Reid DC. Sports Injury Assessment and Rehabilitation.

  Patients, Approach, Chest

Approach to Respiratory Distress in Dogs & Cats

Peer Reviewed APPROACH TO RESPIRATORY DISTRESS 54 History History can also be extremely useful; for example: • History of blunt trauma (eg, hit by a car) should prompt concern for pulmonary contusions, pneumothorax, diaphragmatic hernia, or flail chest. • In cats, a history of cough is consistent with asthma, while in dogs, a cough might ...

  Approach, Chest, Respiratory, Distress, Approach to respiratory distress

A POLICY BRIEF ON COMMUNITY HEALTH WORKERS

(health promoter/promoters), patient navigator, navigator promotores (navegadores para pacientes), peer counselor, lay health advisor, peer health advisor, and peer leader. 1, 2. As expressed by the CHWs section of the American Public Health Association, CHWs are frontline public health workers. who are trusted members of and/or have an unusually

  Health, Patients, Community, Worker, Community health workers