Group Normalization

22 March 2018

Papers citing "Group Normalization"

50 / 710 papers shown

Title
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging Shansi Zhang E. Lam 19 2 0 29 Oct 2021
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Xingang Pan Xudong Xu Chen Change Loy Christian Theobalt Bo Dai 3DH 43 87 0 29 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Revisiting Batch Norm Initialization Jim Davis Logan Frank 22 4 0 26 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 27 107 0 26 Oct 2021
NAS-FCOS: Efficient Search for Object Detection Architectures Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang ObjD 61 19 0 24 Oct 2021
RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection Zhuofan Zong Qianggang Cao B. Leng ObjD 38 13 0 23 Oct 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity Bernd Gruner Matthias Körschens Björn Barz Joachim Denzler 22 0 0 22 Oct 2021
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion Rahul Dey Vishnu Boddeti CVBM 3DH 13 4 0 20 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 93 0 19 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 40 304 0 18 Oct 2021
Taming Visually Guided Sound Generation Vladimir E. Iashin Esa Rahtu VLM 32 122 0 17 Oct 2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy Anda Cheng Jiaxing Wang Xi Sheryl Zhang Qiang Chen Peisong Wang Jian Cheng 39 27 0 16 Oct 2021
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph Xin Yu J. Baar Siheng Chen 3DH 24 3 0 16 Oct 2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference Jiaxiang Liu Simon Oya Florian Kerschbaum MIACV 22 9 0 11 Oct 2021
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds Bao Thach Brian Y. Cho Alan Kuntz Tucker Hermans 3DPC 10 30 0 10 Oct 2021
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training Lillian Zhou Dhruv Guliani Andreas Kabel Giovanni Motta F. Beaufays 26 1 0 08 Oct 2021
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time Elvis Nunez Maxwell Horton Anish K. Prabhu Anurag Ranjan Ali Farhadi Mohammad Rastegari 32 4 0 08 Oct 2021
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection Cédric Picron Tinne Tuytelaars 30 4 0 08 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout Dhruv Guliani Lillian Zhou Changwan Ryu Tien-Ju Yang Harry Zhang Yong Xiao F. Beaufays Giovanni Motta FedML 33 16 0 07 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 72 625 0 06 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 11 105 0 05 Oct 2021
Fine-tuning wav2vec2 for speaker recognition Nik Vaessen David A. van Leeuwen 42 107 0 30 Sep 2021
UFO-ViT: High Performance Linear Vision Transformer without Softmax Jeonggeun Song ViT 114 20 0 29 Sep 2021
Stochastic Training is Not Necessary for Generalization Jonas Geiping Micah Goldblum Phillip E. Pope Michael Moeller Tom Goldstein 89 72 0 29 Sep 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU Edward H. Lee M. M. Krell Alexander Tsyplikhin Victoria Rege E. Colak Kristen W. Yeom FedML 21 0 0 24 Sep 2021
Cramér-Rao bound-informed training of neural networks for quantitative MRI Xiaoxia Zhang Quentin Duchemin Kangning Liu Sebastian Flassbeck Cem Gultekin C. Fernandez‐Granda Jakob Assländer 32 20 0 22 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Mutual Supervision for Dense Object Detection Ziteng Gao Limin Wang Gangshan Wu 61 29 0 13 Sep 2021
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization Cheng Yang Gene Cheung Wai-tian Tan Guangtao Zhai 26 1 0 10 Sep 2021
Learning the Physics of Particle Transport via Transformers O. Pastor-Serrano Zoltán Perkó MedIm 21 13 0 08 Sep 2021
Single Plane-Wave Imaging using Physics-Based Deep Learning G. Pilikos C. L. D. Korte Tristan van Leeuwen F. Lucka 27 4 0 08 Sep 2021
Deep Learning for Multi-View Ultrasonic Image Fusion G. Pilikos L. Horchens Tristan van Leeuwen F. Lucka 21 2 0 08 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 29 12 0 02 Sep 2021
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room V. Srivastav A. Gangi N. Padoy OOD 28 11 0 26 Aug 2021
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation Xiaoming Zhao Harsh Agrawal Dhruv Batra Alex Schwing 36 40 0 26 Aug 2021
Memory-Augmented Non-Local Attention for Video Super-Resolution Ji-yang Yu Jingen Liu Liefeng Bo Tao Mei SupR 33 32 0 25 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Contextual Convolutional Neural Networks Ionut Cosmin Duta Mariana-Iuliana Georgescu Radu Tudor Ionescu 17 7 0 17 Aug 2021
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism Shulun Wang Bin Liu Feng Liu 25 16 0 16 Aug 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 91 19 0 06 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 54 697 0 06 Aug 2021
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 30 17 0 03 Aug 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 27 9 0 02 Aug 2021
Learned Optimizers for Analytic Continuation Dongchen Huang Yi-Feng Yang 16 9 0 28 Jul 2021
Deep learning based cough detection camera using enhanced features Gyeong-Tae Lee Hyeonuk Nam Seong-Hu Kim Sang-Min Choi Youngkey K. Kim Yong-Hwa Park 16 23 0 28 Jul 2021
DOVE: Learning Deformable 3D Objects by Watching Videos Shangzhe Wu Tomas Jakab Christian Rupprecht Andrea Vedaldi 3DH 36 60 0 22 Jul 2021
Generative Video Transformer: Can Objects be the Words? Yi-Fu Wu Jaesik Yoon Sungjin Ahn ViT 32 34 0 20 Jul 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 71 152 0 16 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021