Group Normalization

22 March 2018

Papers citing "Group Normalization"

50 / 653 papers shown

Title
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 41 8 0 02 May 2024
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event Camera Yan Ru Pei Sasskia Brüers Sébastien Crouzet Douglas McLelland Olivier Coenen 31 8 0 13 Apr 2024
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation Swati Jindal Mohit Yadav Roberto Manduchi 37 5 0 08 Apr 2024
Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification Gousia Habib Ishfaq Ahmed Malik Jameel Ahmad Imtiaz Ahmed Shaima Qureshi 36 0 0 01 Apr 2024
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion Pengzhi Li Yikang Ding Haohan Wang Chengshuai Tang Zhiheng Li MDE 46 1 0 30 Mar 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 11 0 21 Mar 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao Chang Su Songming Liu Julius Berner Chengyang Ying Hang Su A. Anandkumar Jian Song Jun Zhu AI4TS AI4CE 32 24 0 06 Mar 2024
GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction Ching-Lin Lee Zhi-Xuan Wang Kuan-Ting Lai Amar Fadillah 46 1 0 29 Feb 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 40 5 0 27 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 48 8 0 19 Feb 2024
DeepATLAS: One-Shot Localization for Biomedical Data Peter D. Chang 27 0 0 14 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 61 4 0 13 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 94 14 0 02 Feb 2024
Combined Generative and Predictive Modeling for Speech Super-resolution Heming Wang Eric W. Healy DeLiang Wang DiffM 33 0 0 25 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 0 17 Jan 2024
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation Devavrat Tomar Guillaume Vray Jean-Philippe Thiran Behzad Bozorgtabar 43 4 0 16 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 33 0 0 11 Jan 2024
Distance Guided Generative Adversarial Network for Explainable Binary Classifications Xiangyu Xiong Yue Sun Xiaohong Liu Wei Ke C. Lam ... Hui Xie Tong Tong Qinquan Gao Haoming Chen Tao Tan GAN 23 0 0 29 Dec 2023
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 42 20 0 19 Dec 2023
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 24 73 0 13 Dec 2023
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering Vivek Gopalakrishnan Neel Dey Polina Golland MedIm 29 11 0 11 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 34 31 0 07 Dec 2023
Kandinsky 3.0 Technical Report V.Ya. Arkhipkin Andrei Filatov Viacheslav Vasilev Anastasia Maltseva Said Azizov Igor Pavlov Julia Agafonova Andrey Kuznetsov Denis Dimitrov DiffM 30 12 0 06 Dec 2023
DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh Jiaming Song Guilin Liu Jan Kautz Arash Vahdat 39 67 0 04 Dec 2023
BCN: Batch Channel Normalization for Image Classification Afifa Khaled Chao Li Jia Ning Kun He 17 6 0 01 Dec 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 34 9 0 24 Nov 2023
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification Xiangyu Xiong Yue Sun Xiaohong Liu C. Lam Tong Tong Haoming Chen Qinquan Gao Wei Ke Tao Tan GAN MedIm 44 4 0 24 Nov 2023
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates Marco Pasini Stefan Lattner George Fazekas 35 1 0 21 Nov 2023
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming Matin Mortaheb M. A. Khojastepour S. Chakradhar S. Ulukus 18 1 0 21 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation Heejoon Koo 42 0 0 10 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 62 12 0 28 Oct 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 11 1 0 27 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 34 8 0 13 Oct 2023
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments William Ravenscroft Stefan Goetze Thomas Hain 28 7 0 09 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 18 22 0 02 Oct 2023
Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks Matin Mortaheb M. A. Khojastepour S. Chakradhar S. Ulukus 18 0 0 27 Sep 2023
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering T. Park Simone DÁmico 32 8 0 20 Sep 2023
3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities Segmentation Changlu Guo 24 0 0 15 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 45 6 0 07 Sep 2023
Deep Video Codec Control for Vision Models Christoph Reich Biplob K. Debnath Deep Patel Tim Prangemeier Daniel Cremers S. Chakradhar 26 1 0 30 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 32 5 0 16 Aug 2023
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition Tianlin Li Zong-Yao Wu Yao Rong Lin Zhu Bowei Jiang Jin Tang Yonghong Tian ViT 77 17 0 08 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 33 6 0 01 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 24 17 0 30 Jul 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao Xingjian Shi Boran Han Hongya Wang Xiaoyong Jin Danielle C. Maddix Yi Zhu Mu Li Bernie Wang BDL DiffM 43 57 0 19 Jul 2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning Jianlan Luo Charles Xu Xinyang Geng Gilbert Feng Kuan Fang L. Tan S. Schaal Sergey Levine 38 52 0 18 Jul 2023
Retentive Network: A Successor to Transformer for Large Language Models Yutao Sun Li Dong Shaohan Huang Shuming Ma Yuqing Xia Jilong Xue Jianyong Wang Furu Wei LRM 78 304 0 17 Jul 2023
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy Yiwen Zhang Chuanpu Li Liming Zhong Ze-xiang Chen Wei Yang Xuetao Wang DiffM MedIm 21 10 0 28 Jun 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis Divyam Madaan D. Sodickson K. Cho S. Chopra OOD MedIm 35 1 0 23 Jun 2023
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network A. Marcus P. Bentley Daniel Rueckert MedIm 21 9 0 21 Jun 2023