Group Normalization

22 March 2018

Papers citing "Group Normalization"

50 / 664 papers shown

Title
AP-Loss for Accurate One-Stage Object Detection Kean Chen Weiyao Lin Jianguo Li John See Ji Wang Junni Zou ObjD 22 66 0 17 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 30 153 0 06 Aug 2020
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss Ziqiang Shi Rujie Liu Jiqing Han 11 7 0 06 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi Ma Jitendra Malik 28 57 0 05 Aug 2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao MedIm 16 46 0 05 Aug 2020
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs N. Gessert Julia Kruger R. Opfer A. Ostwaldt Praveena Manogaran H. Kitzler S. Schippling Alexander Schlaefer MedIm 17 47 0 05 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data Dmitrii Lachinov A. Getmanskaya Vadim Turlapov 22 10 0 20 Jul 2020
Volumetric Transformer Networks Seungryong Kim Sabine Süsstrunk Mathieu Salzmann ViT 30 5 0 18 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge Yinzheng Gu Yihan Pan Shizhe Chen 29 1 0 17 Jul 2020
Deep Small Bowel Segmentation with Cylindrical Topological Constraints Seung Yeon Shin Sungwon Lee Daniel C. Elton J. Gulley Ronald M. Summers 21 24 0 16 Jul 2020
Probabilistic Anchor Assignment with IoU Prediction for Object Detection Kang-jik Kim Hee Seok Lee 23 391 0 16 Jul 2020
Unseen Object Instance Segmentation for Robotic Environments Christopher Xie Yu Xiang Arsalan Mousavian Dieter Fox 36 131 0 16 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 29 10 0 14 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 27 137 0 13 Jul 2020
The Trade-Offs of Private Prediction L. V. D. van der Maaten Awni Y. Hannun 25 22 0 09 Jul 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xueliang Wang Yi Ma Jitendra Malik VLM 30 53 0 30 Jun 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 42 463 0 30 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 27 59 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,042 0 19 Jun 2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy G. Bohara A. Sadeghnejad-Barkousaraie Steve B. Jiang D. Nguyen 22 25 0 19 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 32 240 0 19 Jun 2020
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function Thomio Watanabe D. Wolf 19 22 0 18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim M. Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 48 87 0 18 Jun 2020
High-Fidelity Generative Image Compression Fabian Mentzer G. Toderici Michael Tschannen E. Agustsson 57 463 0 17 Jun 2020
New Interpretations of Normalization Methods in Deep Learning Jiacheng Sun Xiangyong Cao Hanwen Liang Weiran Huang Zewei Chen Zhenguo Li 21 35 0 16 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 38 211 0 15 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020
FCOS: A simple and strong anchor-free object detector Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 29 595 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 131 6,665 0 13 Jun 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 24 34 0 12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 198 0 12 Jun 2020
Quasi-Dense Similarity Learning for Multiple Object Tracking Jiangmiao Pang Linlu Qiu Xia Li Haofeng Chen Qi Li Trevor Darrell Feng Yu VOT 28 362 0 11 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 36 477 0 10 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Reposing Humans by Warping 3D Features Markus Knoche István Sárándi Bastian Leibe 3DH 19 21 0 08 Jun 2020
Speech-to-Singing Conversion based on Boundary Equilibrium GAN Da-Yi Wu Yi-Hsuan Yang GAN 8 8 0 28 May 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang Hao Cai Jun Zhou Minglun Gong 37 20 0 25 May 2020
Stable and expressive recurrent vision models Drew Linsley A. Ashok L. Govindarajan Rex G Liu Thomas Serre 19 45 0 22 May 2020
Normalized Attention Without Probability Cage Oliver Richter Roger Wattenhofer 14 21 0 19 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Yingxue Xu Guihua Wen Yang Hu Mingnan Luo Dan Dai Y. Zhuang Wendy Hall 19 34 0 13 May 2020
Normalized Convolutional Neural Network Dongsuk Kim Geonhee Lee Myungjae Lee S. Kang Dongmin Kim 23 1 0 11 May 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture Hao Sheng Xiao Chen Jingyi Su Ram Rajagopal Andrew Y. Ng 26 31 0 07 May 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 18 25 0 27 Apr 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection Dongzhan Zhou Xinchi Zhou Hongwen Zhang Shuai Yi Wanli Ouyang VLM 24 16 0 25 Apr 2020
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 17 79 0 06 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 27 183 0 03 Apr 2020
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation Bardia Doosti Shujon Naha Majid Mirbagheri David J. Crandall 3DH 14 186 0 31 Mar 2020