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cs.CV 方向,今日共計66篇
【1】 Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
作者:Robin Chan,Matthias Rottmann,Hanno Gottschalk
機構:University of Wuppertal, Germany
連結:https://arxiv.org/abs/2012.06575【2】 Exploring Facial Expressions and Affective Domains for Parkinson Detection
作者:Luis Felipe Gomez-Gomez,Aythami Morales,Julian Fierrez,Juan Rafael Orozco-Arroyave
連結:https://arxiv.org/abs/2012.06563【3】 Detection of Binary Square Fiducial Markers Using an Event Camera
作者:Hamid Sarmadi,Rafael Muñoz-Salinas,Miguel A. Olivares-Mendez,Rafael Medina-Carnicer
機構:Medina-Carnicer, University of Cordoba, Spain, The Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Spain, Space Robotics Research Group, Interdisciplinary Centre for Security, Reliability and Trust (SnT), Universite du luxembourg, Luxembourg
連結:https://arxiv.org/abs/2012.06516【4】 Objectness-Guided Open Set Visual Search and Closed Set Detection
作者:Nathan Drenkow,Philippe Burlina,Neil Fendley,Kachi Odoemene,Jared Markowitz
機構:The Johns Hopkins University Applied Physics Laboratory
連結:https://arxiv.org/abs/2012.06509【5】 Random Projections for Adversarial Attack Detection
作者:Nathan Drenkow,Neil Fendley,Philippe Burlina
機構:The Johns Hopkins University Applied Physics Laboratory, Laurel, MD , USA
連結:https://arxiv.org/abs/2012.06405【6】 Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
作者:Beibin Li,Ezgi Mercan,Sachin Mehta,Stevan Knezevich,Corey W. Arnold,Donald L. Weaver,Joann G. Elmore,Linda G. Shapiro
機構:University of Washington, Seattle, WA fUniversity of California, Los Angles, CA, Seattle Children's Hospital, Seattle, WA SUniversity of Vermont, Burlington, VT, Pathology Associates, Clovis,ca
備註:ICPR 2020. Submitted July 15th, 2020
連結:https://arxiv.org/abs/2012.06136【7】 Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition
標題:顏色相關局部二值模式:一種用於彩色圖像識別的學習型局部描述子
作者:Bin Xiao,Tao Geng,Xiuli Bi,Weisheng Li
連結:https://arxiv.org/abs/2012.06132【8】 Spatio-attentive Graphs for Human-Object Interaction Detection
作者:Frederic Z. Zhang,Dylan Campbell,Stephen Gould
機構:Australian National University
連結:https://arxiv.org/abs/2012.06060【9】 Uncertainty-Aware Deep Calibrated Salient Object Detection
作者:Jing Zhang,Yuchao Dai,Xin Yu,Mehrtash Harandi,Nick Barnes,Richard Hartley
機構: Richard H, Data, ReLER, University of Technology Sydney , Monash University
連結:https://arxiv.org/abs/2012.06020【10】 A Generative Approach for Detection-driven Underwater Image Enhancement
作者:Chelsey Edge,Md Jahidul Islam,Christopher Morse,Junaed Sattar
備註:Under review for ICRA 2021
連結:https://arxiv.org/abs/2012.05990【11】 Super-resolution Guided Pore Detection for Fingerprint Recognition
作者:Syeda Nyma Ferdous,Ali Dabouei,Jeremy Dawson,Nasser M Nasrabadi
機構:West Virginia University, USA
連結:https://arxiv.org/abs/2012.05959【12】 Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection
標題:面向產生式建模和離線檢測的產生式對抗性訓練分析與改進
作者:Xuwang Yin,Shiying Li,Gustavo K. Rohde
機構:University of Virginia, Charlottesville, VA , USA
連結:https://arxiv.org/abs/2012.06568【13】 Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
標題:基於多目標搜索的關鍵點檢測DNNs測試集自動生成
作者:Fitash Ul Haq,Donghwan Shin,Lionel C. Briand,Thomas Stifter,Jun Wang
機構:University of Luxembourg, University of Ottawa, Ottawa, Canada, IEE S.A., Post Luxembourg
連結:https://arxiv.org/abs/2012.06511【14】 Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review
作者:Parsa Sarosh,Shabir A. Parah,Romany F Mansur,G. M. Bhat
機構:India-, New Valley University, El-Kharja, Egypt, Institute of Technology, University of Kashmir, JK
連結:https://arxiv.org/abs/2012.06310【1】 A new automatic approach to seed image analysis: From acquisition to segmentation
作者:A. M. P. G. Vale,M. Ucchesu,C. Di Ruberto,A. Loddo,J. M. Soares,G. Bacchetta
連結:https://arxiv.org/abs/2012.06414【2】 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
標題:沒有元學習的Few-Shot分割:一個好的歸納推理就是你所需要的全部嗎?
作者:Malik Boudiaf,Hoel Kervadec,Ziko Imtiaz Masud,Pablo Piantanida,Ismail Ben Ayed,Jose Dolz
機構:Pablo piantanida, ETS Montreal ETS Montreal, CentraleSupelec-CNRS, Universite Paris-Saclay
備註:12 pages, 3 figures, 9 tables. Code available at this https URL
連結:https://arxiv.org/abs/2012.06166【3】 Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
作者:Hua Li,Yuheng Jia,Runmin Cong,Wenhui Wu,Sam Kwong,Chuanbo Chen
備註:Accepted by IEEE Transactions on Industrial Informatics, 2020
連結:https://arxiv.org/abs/2012.06149【4】 Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
標題:基於標籤不確定的3D-to-2D網絡的不確定性驅動的腫瘤核心分割精化
作者:Richard McKinley,Micheal Rebsamen,Katrin Daetwyler,Raphael Meier,Piotr Radojewski,Roland Wiest
機構:Support Centre for Advanced Neuroimaging University Institute of Diagnostic and, Interventional Neuroradiology, Inselspital, Bern University Hospital, Bern, Switzerland
備註:Presented (virtually) in the MICCAI Brainles workshop 2020. Accepted for publication in Brainles proceedings
連結:https://arxiv.org/abs/2012.06436【1】 Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
作者:Wang Yifan,Shihao Wu,Cengiz Oztireli,Olga Sorkine-Hornung
機構:IETH Zurich ,University of Cambridge
連結:https://arxiv.org/abs/2012.06434【1】 Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking
作者:Shervin Rasoulzadeh,Bagher Babaali
機構:Statistics and Computer Science, College of Science, University of Tehran,Tehran, Iran
備註:This paper is a preprint of a paper submitted to IET Biometrics. If accepted, the copy of record will be available at the IET Digital Library
連結:https://arxiv.org/abs/2012.06186【1】 A Comprehensive Study of Deep Video Action Recognition
作者:Yi Zhu,Xinyu Li,Chunhui Liu,Mohammadreza Zolfaghari,Yuanjun Xiong,Chongruo Wu,Zhi Zhang,Joseph Tighe,R. Manmatha,Mu Li
備註:Technical report. Code and model zoo can be found at this https URL
連結:https://arxiv.org/abs/2012.06567【2】 Spatial Temporal Transformer Network for Skeleton-based Action Recognition
作者:Chiara Plizzari,Marco Cannici,Matteo Matteucci
機構:Politecnico di Milano, Milano, Italy
備註:Accepted as ICPRW2020 (FBE2020, Workshop on Facial and Body Expressions, micro-expressions and behavior recognition) 8 pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:2008.07404
連結:https://arxiv.org/abs/2012.06399【1】 Unsupervised deep learning for individualized brain functional network identification
機構:Center for Biomedical Image Computing and Analytics(CBICA), University of Pennsylvania, Philadelphia, PA, USA
連結:https://arxiv.org/abs/2012.06494【2】 Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder
作者:Yang Liu,Alexandros Neophytou,Sunando Sengupta,Eric Sommerlade
機構:University of Surrey, UK, Microsoft Corporation, Reading, UK, Alexandros. Neophytou, Sunando. Sengupta
連結:https://arxiv.org/abs/2012.06444【3】 D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
標題:D2-網:基於判別嵌入和去噪激活的弱監督動作定位
作者:Sanath Narayan,Hisham Cholakkal,Munawar Hayat,Fahad Shahbaz Khan,Ming-Hsuan Yang,Ling Shao
機構:Inception Institute of Artificial Intelligence, UAE ,Mohamed bin Zayed University of AI, UAE, Monash University, Australia ,University of California, Merced, USA ,Google Research
連結:https://arxiv.org/abs/2012.06440【4】 Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
作者:Li Sun,Ke Yu,Kayhan Batmanghelich
機構:University of Pittsburgh, USA
連結:https://arxiv.org/abs/2012.06457【1】 Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
作者:Xin Li,Xin Jin,Tao Yu,Yingxue Pang,Simeng Sun,Zhizheng Zhang,Zhibo Chen
機構:CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei , China
連結:https://arxiv.org/abs/2012.06131【1】 A MAC-less Neural Inference Processor Supporting Compressed, Variable Precision Weights
標題:一種支持壓縮變精度權值的無MAC神經推理處理器
連結:https://arxiv.org/abs/2012.06018【2】 Parallelized Rate-Distortion Optimized Quantization Using Deep Learning
作者:Dana Kianfar,Auke Wiggers,Amir Said,Reza Pourreza,Taco Cohen
機構:th Reza pourreza, Qualcomm AI Research, Qualcomm Al Research
備註:6 pages; To be published at IEEE MMSP 2020 Proceedings
連結:https://arxiv.org/abs/2012.06380【1】 Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
標題:體素超解析度和學習隱式表示相結合的多視角圖像細節三維人體重建
作者:Zhongguo Li,Magnus Oskarsson,Anders Heyden
機構:Received: date Accepted: date
連結:https://arxiv.org/abs/2012.06178【1】 EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
標題:EventHands:基於事件流的實時神經3D手部重建
作者:Viktor Rudnev,Vladislav Golyanik,Jiayi Wang,Hans-Peter Seidel,Franziska Mueller,Mohamed Elgharib,Christian Theobalt
機構:Max Planck Institute for Informatics, Saarland Informatics Campus, DAVIS,C, Event Camera
連結:https://arxiv.org/abs/2012.06475【2】 A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network
標題:三維卷積變分遞歸網絡視頻預測的對數似然正則化KL散度
作者:Haziq Razali,Basura Fernando
連結:https://arxiv.org/abs/2012.06123【3】 A novel joint points and silhouette-based method to estimate 3D human pose and shape
標題:一種新的基於關節點和輪廓的三維人體姿態和形狀估計方法
作者:Zhongguo Li,Anders Heyden,Magnus Oskarsson
機構:Lund University, Lund, Sweden
備註:Accepted to ICPR 2020 3DHU workshop
連結:https://arxiv.org/abs/2012.06109【4】 3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
作者:Yael Sde-Chen,Yoav Y. Schechner,Vadim Holodovsky,Eshkol Eytan
機構:Technion-Israel Institute of Technology, Haifa, Israel, The Weizmann Institute of Science, Rehovot, Israel
連結:https://arxiv.org/abs/2012.05960【1】 Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
標題:基於約束凸網的攝像機從傳感器模式噪聲中的識別
作者:Derrick Timmerman,Swaroop Bennabhaktula,Enrique Alegre,George Azzopardi
機構:Azzopardiliod, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands, Group for Vision and Intelligent Systems, Universidad de Leon, spain, Keywords: Source Camera Identification Video Device Identification, Video Forensics, Sensor Pattern Noise
備註:Paper Accepted in - 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021)
連結:https://arxiv.org/abs/2012.06277【2】 Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
作者:Lingbo Yang,Zhanning Gao,Peiran Ren,Siwei Ma,Wen Gao
機構:. Institute of Digital Media, Peking University, . Alibaba DAMO Academy, Driving, Frames, Source, Images
備註:10 pages, work done during internship at Alibaba DAMO Academy
連結:https://arxiv.org/abs/2012.06134【3】 Learning Order Parameters from Videos of Dynamical Phases for Skyrmions with Neural Networks
標題:用神經網絡從天空微子的動力學相視頻中學習序參數
作者:Weidi Wang,Zeyuan Wang,Yinghui Zhang,Bo Sun,Ke Xia
機構:The Center for Advanced Quantum Studies, Beijing Normal University, Beijing , China, Drexel University, Philadelphia, PA , USA, College of Education for the Future, Beijing Normal University, Beijing , China, Beijing Computational Science Research Center, Beijing , China, (Dated: December ,)
連結:https://arxiv.org/abs/2012.06308【1】 LayoutGMN: Neural Graph Matching for Structural Layout Similarity
標題:LayoutGMN:面向結構布局相似度的神經網絡圖匹配
作者:Akshay Gadi Patil,Manyi Li,Matthew Fisher,Manolis Savva,Hao Zhang
機構: Simon Fraser University ,Adobe Research
連結:https://arxiv.org/abs/2012.06547【2】 Dependency Decomposition and a Reject Option for Explainable Models
作者:Jan Kronenberger,Anselm Haselhoff
機構:Computer Science Institute, Ruhr West University of Applied Sciences Ruhr West University of Applied Sciences
備註:Accepted at CVPR 2019 Workshop "DThree19: Dependable Deep Detectors"
連結:https://arxiv.org/abs/2012.06523【3】 Confidence Estimation via Auxiliary Models
作者:Charles Corbière,Nicolas Thome,Antoine Saporta,Tuan-Hung Vu,Matthieu Cord,Patrick Pérez
連結:https://arxiv.org/abs/2012.06508【4】 DeepObjStyle: Deep Object-based Photo Style Transfer
標題:DeepObjStyle:基於深度對象的照片樣式轉換
作者:Indra Deep Mastan,Shanmuganathan Raman
機構:Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India
連結:https://arxiv.org/abs/2012.06498【5】 DILIE: Deep Internal Learning for Image Enhancement
作者:Indra Deep Mastan,Shanmuganathan Raman
機構:Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India
連結:https://arxiv.org/abs/2012.06469【6】 Cyclic orthogonal convolutions for long-range integration of features
作者:Federica Freddi,Jezabel R Garcia,Michael Bromberg,Sepehr Jalali,Da-Shan Shiu,Alvin Chua,Alberto Bernacchia
機構:MediaTek Research, December
連結:https://arxiv.org/abs/2012.06462【7】 Imitation-Based Active Camera Control with Deep Convolutional Neural Network
機構:KIOS Research and Innovation Center of Excellence, University of Cyprus, Panepistimiou Avenue, Nicosia Cyprus, December
備註:Paper accepted in Fourth IEEE International Conference on Image Processing, Applications, and Systems (IEEE IPAS 2020)
連結:https://arxiv.org/abs/2012.06428【8】 A Multi-task Joint Framework for Real-time Person Search
作者:Ye Li,Kangning Yin,Jie Liang,Chunyu Wang,Guangqiang Yin
機構:Received: date Accepted:date
連結:https://arxiv.org/abs/2012.06418【9】 Cyclopean Geometry of Binocular Vision
作者:Miles Hansard,Radu Horaud
機構:INRIA Rhone-Alpes-, Avenue de lEurope', Montbonnot, France.
連結:https://arxiv.org/abs/2012.06363【10】 Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
標題:基於自生長空間圖網絡的上下文感知行人軌跡預測
作者:Sirin Haddad,Siew-Kei Lam
機構:Received: dateAccepted: date
連結:https://arxiv.org/abs/2012.06320【11】 One Point is All You Need: Directional Attention Point for Feature Learning
作者:Liqiang Lin,Pengdi Huang,Chi-Wing Fu,Kai Xu,Hao Zhang,Hui Huang
機構:Shenzhen University, The Chinese University of Hong Kong, National University of Defense Technology, Simon Fraser University
連結:https://arxiv.org/abs/2012.06257【12】 Garment Recommendation with Memory Augmented Neural Networks
作者:Lavinia De Divitiis,Federico Becattini,Claudio Baecchi,Alberto Del Bimbo
機構:Bimb,-,-,-, University of Florence, Italy
連結:https://arxiv.org/abs/2012.06200【13】 Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
作者:Lang Nie,Chunyu Lin,Kang Liao,Yao Zhao
連結:https://arxiv.org/abs/2012.06194【14】 AViNet: Diving Deep into Audio-Visual Saliency Prediction
作者:Samyak Jain,Pradeep Yarlagadda,Ramanathan Subramanian,Vineet Gandhi
機構:CVIT, Kohli Centre on Intelligent Systems, IIIT Hyderabad ,IIT Ropar
連結:https://arxiv.org/abs/2012.06170【15】 A Dark Flash Normal Camera
作者:Zhihao Xia,Jason Lawrence,Supreeth Achar
機構: Washington University in St. Louis ,Google Research
連結:https://arxiv.org/abs/2012.06125【16】 How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
作者:Erik Wijmans,Irfan Essa,Dhruv Batra
機構: Georgia Institute of Technology,Facebook, AI Research, Google Research Atlanta
連結:https://arxiv.org/abs/2012.06117【17】 Monocular Real-time Full Body Capture with Inter-part Correlations
作者:Yuxiao Zhou,Marc Habermann,Ikhsanul Habibie,Ayush Tewari,Christian Theobalt,Feng Xu
機構:Tsinghua University ,Max Planck Institute for Informatics ,Saarland Informatics Campus
連結:https://arxiv.org/abs/2012.06087【18】 Mesoscopic photogrammetry with an unstabilized phone camera
作者:Kevin C. Zhou,Colin Cooke,Jaehee Park,Ruobing Qian,Roarke Horstmeyer,Joseph A. Izatt,Sina Farsiu
機構:Duke University, Durham, NC
連結:https://arxiv.org/abs/2012.06044【19】 Vision-based Price Suggestion for Online Second-hand Items
作者:Liang Han,Zhaozheng Yin,Zhurong Xia,Li Guo,Mingqian Tang,Rong Jin
機構:Stony Brook University, Alibaba Group, Alibaba group
連結:https://arxiv.org/abs/2012.06009【20】 Image-Graph-Image Translation via Auto-Encoding
作者:Chenyang Lu,Gijs Dubbelman
機構:Eindhoven University of Technology, Eindhoven, The Netherlands
連結:https://arxiv.org/abs/2012.05975【21】 Risk & returns around FOMC press conferences: a novel perspective from computer vision
標題:FOMC新聞發布會前後的風險與收益:計算機視覺的新視角
連結:https://arxiv.org/abs/2012.06573【22】 AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
標題:AIforCOVID:將人工智慧應用於胸部X光片,預測冠狀病毒患者的臨床結果。一項義大利多中心研究
作者:Paolo Soda,Natascha Claudia D'Amico,Jacopo Tessadori,Giovanni Valbusa,Valerio Guarrasi,Chandra Bortolotto,Muhammad Usman Akbar,Rosa Sicilia,Ermanno Cordelli,Deborah Fazzini,Michaela Cellina,Giancarlo Oliva,Giovanni Callea,Silvia Panella,Maurizio Cariati,Diletta Cozzi,Vittorio Miele,Elvira Stellato,Gian Paolo Carrafiello,Giulia Castorani,Annalisa Simeone,Lorenzo Preda,Giulio Iannello,Alessio Del Bue,Fabio Tedoldi,Marco Alì,Diego Sona,Sergio Papa
機構:Unit of Computer Systems and Bioinformatics, University Campus Bio-Medico of Rome, Via Alvaro del Portillo , Rome, Italy, Centro Diagnostico Italiano S.p.A., Via S. Saint Bon, Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Via Morego , Genoa, Italy, Co ,Bracco Imaging S.p.A., Via Caduti di Marcinelle , Milan, Italy, Control, and Management Engineering, Sapienza University of Rome, Via Ariosto, Radiology Institute, Fondazione IRCCS Policlinico San Matteo, Viale Golgi , Pavia, Italy, Electrical, Electronic and Telecommunications Engineering-University of Genova, Via, All'Opera Pia , A, Genoa, Italy, ASST Fatebenefratelli Sacco Piazza Principessa Clotilde , Milan, Italy, Diagnostic and interventional radiology unit, ASST Santi Paolo e Carlo-San Paolo Hospital, Via Antonio di Rudini , Diagnostic and Radiology Units, ASST Santi Paolo, e Carlo-San Paolo Hospital, Via Antonio di Rudini , Milan, Italy, Careggi University Hospital, Largo Piero Palagi , Florence, Italy
連結:https://arxiv.org/abs/2012.06531【23】 RENATA: REpreseNtation And Training Alteration for Bias Mitigation
作者:William Paul,Armin Hadzic,Neil Joshi,Phil Burlina
機構:Enforcing fairness, domain adaption in [,] uses this strategy. [,], REpreseNtation And Training Alteration for Bias Mitigation. Preprint , (December ,), pages., uses a separate adversarial network in a natural language processing, task to predict the protected factor, and modifies the word embed-, dings to reduce the adversary's performance. Concurrent studies
連結:https://arxiv.org/abs/2012.06387【24】 Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
作者:Peter Bugata,Peter Drotar
備註:This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
連結:https://arxiv.org/abs/2012.06365【25】 Privacy-preserving medical image analysis
作者:Alexander Ziller,Jonathan Passerat-Palmbach,Théo Ryffel,Dmitrii Usynin,Andrew Trask,Ionésio Da Lima Costa Junior,Jason Mancuso,Marcus Makowski,Daniel Rueckert,Rickmer Braren,Georgios Kaissis
機構:Institute of Diagnostic, and Interventional Radiolog, Institute for Artificial Intelligence, and Informatics in Medicine, Technical University of Munich, Munich, Gerr, ermany, Theo Ryffel, Arkhn, Imperial College London, INRIA, ENS, PSL University, London, United Kingdom, Paris,France, j. passerat-palmbachimperial. ac.uk, University of Oxford, Oxford, United Kingdom, dmitrii. usynin,imperial.ac.uk, Ionesio Da Lima Costa Junior, Universidade Federal de Campina Grande, Cape Privacy, Campina Grande, Paraiba, Brazil, New York, United States of America, Daniel Bueckert
備註:Accepted at the workshop for Medical Imaging meets NeurIPS, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020
連結:https://arxiv.org/abs/2012.06354【26】 State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
標題:2020年最新的機器學習MRI重建:第二屆FAST MRI挑戰賽的結果
作者:Matthew J. Muckley,Bruno Riemenschneider,Alireza Radmanesh,Sunwoo Kim,Geunu Jeong,Jingyu Ko,Yohan Jun,Hyungseob Shin,Dosik Hwang,Mahmoud Mostapha,Simon Arberet,Dominik Nickel,Zaccharie Ramzi,Philippe Ciuciu,Jean-Luc Starck,Jonas Teuwen,Dimitrios Karkalousos,Chaoping Zhang,Anuroop Sriram,Zhengnan Huang,Nafissa Yakubova,Yvonne Lui,Florian Knoll
機構:Facebook AI Research, New York, NY, USA, AIRS Medical, Seoul, South Korea, Yonsei University, Seoul, Korea, Siemens Healthineers, Princeton, NJ, USA, Siemens Healthcare GmbH, Erlangen, Germany, CEA (NeuroSpin) Inria Saclay (Parietal), Universite Paris-Saclay, F-, Gif-sur-Yvette, France, Departement d'Astrophysique, CEA-Saclay, Gif-sur-Yvette, France, Radboud University Medical Center, Nijmegen, Netherlands, Amsterdam UMC, Amsterdam, Netherlands, Facebook AI Research, Menlo Park, CA, USA, Equal contribution., December
備註:16 pages, 7 figures, 3 tables
連結:https://arxiv.org/abs/2012.06318【27】 Deep-Learning-Based Kinematic Reconstruction for DUNE
作者:Junze Liu,Jordan Ott,Julian Collado,Benjamin Jargowsky,Wenjie Wu,Jianming Bian,Pierre Baldi
機構:(For the DUNE Collaboration), University of California, Irvine, Irvine, CA , pfbaldicics. uci. edu
連結:https://arxiv.org/abs/2012.06181【28】 DSRNA: Differentiable Search of Robust Neural Architectures
作者:Ramtin Hosseini,Xingyi Yang,Pengtao Xie
機構:UC San Diego, Gilman Dr, La Jolla, CA , Gilman Dr, La Jolla, CA
連結:https://arxiv.org/abs/2012.06122【29】 Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
作者:Jingwei Sun,Ang Li,Binghui Wang,Huanrui Yang,Hai Li,Yiran Chen
機構:Duke University, December
連結:https://arxiv.org/abs/2012.06043
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