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计算机视觉/图画处理学术速递[04.05]

www.arxivdaily.com”即可拜访 cs.CV 方向,今天合计68篇 [检测分类相关]: 【1】 Group Collaborative Learning for Co…

www.arxivdaily.com”即可拜访



cs.CV 方向,今天合计68篇



[检测分类相关]:

【1】 Group Collaborative Learning for Co-Salient Object Detection
标题
:Qi Fan,Deng-Ping Fan,Huazhu Fu,Chi Keung Tang,Ling Shao,Yu-Wing Tai

组织:HKUST , Inception Institute of AI (IIAI) , Kwai Inc.

补白:Accepted to CVPR 2021. Project page: this https URL
链接:https://arxiv.org/abs/2104.01108

【2】 End-to-end learning of keypoint detection and matching for relative pose  estimation
标题:相对位姿估量要害点检测和匹配的端到端学习
:Antoine Fond,Luca Del Pero,Nikola Sivacki,Marco Paladini

链接:https://arxiv.org/abs/2104.01085

【3】 TubeR: Tube-Transformer for Action Detection
标题:TUBER:用于动作检测的管Transformer
:Jiaojiao Zhao,Arthur Li,Chunhui Liu,Shuai Bing,Hao Chen,Cees G. M. Snoek,Joseph Tighe

组织:Cees G.M. Snoekl,  University of Amsterdam, Amazon Web Service

链接:https://arxiv.org/abs/2104.00969

【4】 HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object  Detection
标题:HVPR:单级三维方针检测的混合体素点表明
:Jongyoun Noh,Sanghoon Lee,Bumsub Ham

组织:Yonsei University

补白:Accepted to CVPR 2021
链接:https://arxiv.org/abs/2104.00902

【5】 Adaptive Class Suppression Loss for Long-Tail Object Detection
标题:根据自适应类按捺丢掉的长尾方针检测
:Tong Wang,Yousong Zhu,Chaoyang Zhao,Wei Zeng,Jinqiao Wang,Ming Tang

组织:National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences,  ObjectEye Inc., Beijing, China,  Peking University, Beijing, China,  Peng Cheng Laboratory, Shenzhen, China,  NEXWISE Co., Ltd., Guangzhou, China

补白:CVPR2021 camera ready version
链接:https://arxiv.org/abs/2104.00885

【6】 Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier  optimized with VLAD
标题:根据ASURF和VLAD优化的云林分类器的无约束人脸辨认
:A Vinay,Aviral Joshi,Hardik Mahipal Surana,Harsh Garg,K N BalasubramanyaMurthy,S Natarajan

组织:Center for Pattern Recognition and Machine Intelligence, PES University, Bangalore , India

补白:8 Pages, 3 Figures
链接:https://arxiv.org/abs/2104.00842

【7】 A study on the effects of compression on hyperspectral image  classification
标题:紧缩对高光谱图画分类影响的研讨
:Kiran Mantripragada,Phuong D. Dao,Yuhong He,Faisal Z. Qureshi

补白:15 pages
链接:https://arxiv.org/abs/2104.00788

【8】 Remote Sensing Image Classification with the SEN12MS Dataset
标题:根据SEN12MS数据集的遥感图画分类
:Michael Schmitt,Yu-Lun Wu

补白:accepted for publication in the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (online from July 2021)
链接:https://arxiv.org/abs/2104.00704


[切割/语义相关]:

【1】 Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
标题:根据无监督体切割法将3D场景分解为目标
:Karl Stelzner,Kristian Kersting,Adam R. Kosiorek

补白:15 pages, 3 figures. For project page with videos, see this http URL
链接:https://arxiv.org/abs/2104.01148

【2】 Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided  Neural Network
标题:Plot2API:经过语义解析引导神经网络引荐PLOT中的图形API
:Zeyu Wang,Sheng Huang,Zhongxin Liu,Meng Yan,Xin Xia,Bei Wang,Dan Yang

组织:Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University)., Ministry of Education, China, Chongqing University, Chongqing, China, College of Computer Science and Technology, Zhejiang University, Hangzhou,China, Monash University, Australia

补白:Accepted by SANER2021
链接:https://arxiv.org/abs/2104.01032

【3】 Visual Semantic Role Labeling for Video Understanding
标题:面向视频了解的视觉语义人物标示
:Arka Sadhu,Tanmay Gupta,Mark Yatskar,Ram Nevatia,Aniruddha Kembhavi

组织:University of Southern California ,University of Pennsylvania ,PRIOR Allen Institute for Al, vidsitu. org,  Seconds, Verb: deflect (block, void), Argo(deflector) woman with shield, Event , Arg, (thing deflected) boulder, Os-,s, Scene, city park, Ev, is enabled by, Verb: talk(speak), Argo(talker), Arg,(hearer), ArgM(manner)ur, Ev, is a, reaction to Ev, Argo (iumper), Arg,(obstacle), ArgM (direction), wards shirtless man, ArgM(goal), to attack sh, Verb: punch( hit), Argo(agent), Arg, (entity punched) man with trident, EvS is unrelated, Verb: punch (to hit), Argo (agent), Arg, (entity punched) w, ArgM(direction) do, down the stairs

补白
链接:https://arxiv.org/abs/2104.00990

【4】 Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised  Semantic Segmentation
标题:弱监督语义切割的布景感知聚集和噪声感知丢掉
:Youngmin Oh,Beomjun Kim,Bumsub Ham

补白:Accepted to CVPR 2021
链接:https://arxiv.org/abs/2104.00905

【5】 Half-Real Half-Fake Distillation for Class-Incremental Semantic  Segmentation
标题:用于类增量语义切割的半真半伪蒸馏办法
:Zilong Huang,Wentian Hao,Xinggang Wang,Mingyuan Tao,Jianqiang Huang,Wenyu Liu,Xian-Sheng Hua

组织:Huazhong University of Science and Technology, Alibaba Group

链接:https://arxiv.org/abs/2104.00875

【6】 Fully Understanding Generic Objects: Modeling, Segmentation, and  Reconstruction
标题:充沛了解通用目标:建模、切割和重建
:Feng Liu,Luan Tran,Xiaoming Liu

组织:Michigan State University, East Lansing MI

补白
链接:https://arxiv.org/abs/2104.00858

【7】 Deep ensembles based on Stochastic Activation Selection for Polyp  Segmentation
标题:根据随机激活挑选的深层集成息肉切割
:Alessandra Lumini,Loris Nanni,Gianluca Maguolo

组织:DEI, University of Padua, viale Gradenigo , Padua, Italy

链接:https://arxiv.org/abs/2104.00850

【8】 Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation,  Segmentation and Radiogenomic Survival Prediction
标题:多形性胶质母细胞瘤的预后:MRI缺失形状的发生、切割和放射基因组生计猜测
:Mobarakol Islam,Navodini Wijethilake,Hongliang Ren

组织:Available MRI modalities, Radiomic Feature Extraction, Volume features, Fractal dimension, Genomics, Intensity features, Proposed FCN based, Feature Selection, GAN synthesis model, Kurtosis, Recursive Feature Elimination, Entropy, Histogram, Regression Model, Geometrical features, Length Coordinates, Missing MRI modality, First axis, -Second axis, -Third axis, Centroid coordinates, Prediction, Eigen values, Equatorial eccentricity, Meridional eccentricity, Overall Survival, Segmentation, in days

补白:Under review for a journal
链接:https://arxiv.org/abs/2104.01149

【9】 Prediction of Tuberculosis using U-Net and segmentation techniques
标题:U-网和切割技能在结核病猜测中的运用
:Dennis Núñez-Fernández,Lamberto Ballan,Gabriel Jiménez-Avalos,Jorge Coronel,Patricia Sheen,Mirko Zimic

组织:Laboratorio de Bioinformatica y Biologia Molecular, Universidad Peruana Cayetano Heredia, Peru, Visual Intelligence and Machine Perception Group, University of Padova, Italy

补白:AI for Public Health Workshop at ICLR 2021. arXiv admin note: text overlap with arXiv:2007.02482
链接:https://arxiv.org/abs/2104.01071

【10】 Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
标题:根据三维留意UNET的脑肿瘤切割与生计猜测
:Mobarakol Islam,Vibashan VS,V Jeya Maria Jose,Navodini Wijethilake,Uppal Utkarsh,Hongliang Ren

组织: NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore,  Dept. of Biomedical Engineering, National University of Singapore, Singapore, Dept. of Instrumentation and Control Engineering NIT, Tiruchirappalli, India,  Dept. of Electronics and Telecommunications, University of Moratuwa, Srilanka,  Dept. of Electrical Engineering, Punjab Engineering College, Chandigarh, India, mobarakolQu. nus. edu, renOnus. edu.sg

补白:MICCAI-BrainLes Workshop
链接:https://arxiv.org/abs/2104.00985

【11】 Glioma Prognosis: Segmentation of the Tumor and Survival Prediction  using Shape, Geometric and Clinical Information
标题:胶质瘤预后:根据形状、几许和临床信息的肿瘤切割和生计猜测
:Mobarakol Islam,V Jeya Maria Jose,Hongliang Ren

组织: NUS Graduate School for Integrative Sciences and Engineering (NGS), National, Dept. of Biomedical Engineering, National University of Singapore, Singapore,  Dept. of Instrumentation and Control Engineering, National Institute of, Technology, Tiruchirappalli, India

补白:MICCAI-BrainLes Workshop
链接:https://arxiv.org/abs/2104.00980


[NAS相关]:

【1】 NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex  Action Recognition
标题:NAS-TC:杂乱动作辨认的时刻卷积神经结构查找
:Pengzhen Ren,Gang Xiao,Xiaojun Chang,Yun Xiao,Zhihui Li,Xiaojiang Chen

补白:10 pages
链接:https://arxiv.org/abs/2104.01110


[人脸相关]:

【1】 Towards High Fidelity Face Relighting with Realistic Shadows
标题:运用真实感暗影完成高保真脸部从头照明
:Andrew Hou,Ze Zhang,Michel Sarkis,Ning Bi,Yiying Tong,Xiaoming Liu

组织:Michigan State University,Qualcomm Technologies Inc.

补白:Accepted to CVPR 2021
链接:https://arxiv.org/abs/2104.00825


[GAN/对立式/生成式相关]:

【1】 Defending Against Image Corruptions Through Adversarial Augmentations
标题:经过对立性增强来防护形象糜烂
:Dan A. Calian,Florian Stimberg,Olivia Wiles,Sylvestre-Alvise Rebuffi,Andras Gyorgy,Timothy Mann,Sven Gowal

组织:DeepMind

链接:https://arxiv.org/abs/2104.01086

【2】 Partition-Guided GANs
标题:分区引导的GAN
:Mohammadreza Armandpour,Ali Sadeghian,Chunyuan Li,Mingyuan Zhou

组织:ITexas AM University ,University of Florida, Microsoft Research ,The University of Texas at Austin

链接:https://arxiv.org/abs/2104.00816


[行为/时空/光流/姿势/运动]:

【1】 Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape  Reconstruction
标题:用于三维人体姿势和形状重建的学习型可搬运运动学词典
:Ze Ma,Yifan Yao,Pan Ji,Chao Ma

组织: Shanghai Jiao Tong University,  OPPO US Research Center

链接:https://arxiv.org/abs/2104.00953

【2】 UAV-Human: A Large Benchmark for Human Behavior Understanding with  Unmanned Aerial Vehicles
标题:无人机-人类:无人驾驶飞行器人类行为了解的大型基准
:Tianjiao Li,Jun Liu,Wei Zhang,Yun Ni,Wenqian Wang,Zhiheng Li

组织:Shandong University, Jinan, Shandong

补白:Accepted by CVPR2021
链接:https://arxiv.org/abs/2104.00946

【3】 Video Prediction Recalling Long-term Motion Context via Memory Alignment  Learning
标题:根据回忆对齐学习的回想长时间运动情境的视频猜测
:Sangmin Lee,Hak Gu Kim,Dae Hwi Choi,Hyung-Il Kim,Yong Man Ro

组织:EPFL, Switzerland , ETRI, South Korea

补白:CVPR 2021 (Oral)
链接:https://arxiv.org/abs/2104.00924

【4】 Self-supervised Video Representation Learning by Context and Motion  Decoupling
标题:根据上下文和运动解耦的自监督视频表明学习
:Lianghua Huang,Yu Liu,Bin Wang,Pan Pan,Yinghui Xu,Rong Jin

组织:Machine Intelligence Technology Lab, Alibaba Group, xuangen. hlh, ly, ganfu. wb, panpan. pp, renji. xyh, jinrong. jralibaba-inc. com

补白:Accepted by CVPR2021
链接:https://arxiv.org/abs/2104.00862


[半/弱/无监督相关]:

【1】 Semi-supervised Viewpoint Estimation with Geometry-aware Conditional  Generation
标题:根据几许感知条件生成的半监督角度估量
:Octave Mariotti,Hakan Bilen

组织:University of Edinburgh, United Kingdom

补白:None
链接:https://arxiv.org/abs/2104.01103

【2】 LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of  Interpretable Directions
标题:LatentCLR:一种无监督发现可解释方向的比照学习办法
:Oğuz Kaan Yüksel,Enis Simsar,Ezgi Gülperi Er,Pinar Yanardag

组织:EPFL ,TUM ,Bogazici University, [StyleGAN,] Eye style change on FFHQ, [StyleGAN,] Car type on LSUN Cars, [StyleGAN,] Fluffiness on LSUN Cats, [StyleGAN,] Window on LSUN Bedrooms

链接:https://arxiv.org/abs/2104.00820


[盯梢相关]:

【1】 Learning to Filter: Siamese Relation Network for Robust Tracking
标题:学习过滤:暹罗关系网完成稳健追寻
:Siyuan Cheng,Bineng Zhong,Guorong Li,Xin Liu,Zhenjun Tang,Xianxian Li,Jing Wang

组织:Guangxi Key Lab of Multi-Source Information Mining Security, Guangxi Normal University, Guilin , China, University of Chinese Academy of Sciences, China, Seetatech Technology, Beijing, China

链接:https://arxiv.org/abs/2104.00829


[搬迁学习/domain/主动学习/自适应]:

【1】 AI Fairness via Domain Adaptation
标题:经过域自适应完成人工智能公正
:Neil Joshi,Phil Burlina

链接:https://arxiv.org/abs/2104.01109

【2】 Enhancing Underwater Image via Adaptive Color and Contrast Enhancement,  and Denoising
标题:根据自适应色彩和比照度增强及去噪的水下图画增强
:Xinjie Li,Guojia Hou,Kunqian Li

链接:https://arxiv.org/abs/2104.01073

【3】 Low Dose Helical CBCT denoising by using domain filtering with deep  reinforcement learning
标题:根据深度强化学习的区域滤波在低剂量螺旋CBCT去噪中的运用
:Wooram Kang,Mayank Patwari

组织:Friedrich Alexander Universitat Erlangen-Nirnberg, Germany

补白:Research project report. 5 pages, 6 figures, 2 tables
链接:https://arxiv.org/abs/2104.00889

【4】 Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
标题
:Subhankar Roy,Evgeny Krivosheev,Zhun Zhong,Nicu Sebe,Elisa Ricci

组织:University of Trento, Italy ,Fondazione Bruno Kessler, Italy

补白:CVPR 2021
链接:https://arxiv.org/abs/2104.00808

【5】 Confidence Adaptive Anytime Pixel-Level Recognition
标题:置信度自适应随时像素级辨认
:Zhuang Liu,Trevor Darrell,Evan Shelhamer

组织:UC Berkeley, Adobe Research

补白:16 pages, 12 figures
链接:https://arxiv.org/abs/2104.00749

【6】 Confidence Calibration for Domain Generalization under Covariate Shift
标题:协变量漂移下域泛化的置信度校对
:Yunye Gong,Xiao Lin,Yi Yao,Thomas G. Dietterich,Ajay Divakaran,Melinda Gervasio

组织:SRI International, Oregon State University

链接:https://arxiv.org/abs/2104.00742


[裁剪/量化/加快相关]:

【1】 Network Quantization with Element-wise Gradient Scaling
标题:根据元素梯度缩放的网络量化
:Junghyup Lee,Dohyung Kim,Bumsub Ham

补白:Accepted to CVPR 2021
链接:https://arxiv.org/abs/2104.00903


[Re-id相关]:

【1】 AAformer: Auto-Aligned Transformer for Person Re-Identification
标题:AAformer:用于人员从头辨认的主动对准Transformer
:Kuan Zhu,Haiyun Guo,Shiliang Zhang,Yaowei Wang,Gaopan Huang,Honglin Qiao,Jing Liu,Jinqiao Wang,Ming Tang

组织:Institute of Automation, Chinese Academy of Sciences, Peng Cheng Laboratory, SPeking University ba Group

补白:11 pages
链接:https://arxiv.org/abs/2104.00921


[深度depth相关]:

【1】 S2R-DepthNet: Learning a Generalizable Depth-specific Structural  Representation
标题:S2R-DepthNet:学习可泛化的特定深度结构表明
:Xiaotian Chen,Yuwang Wang,Xuejin Chen,Wenjun Zeng

组织: University of Science and Technology of China , Microsoft Research Asia

补白:Accepted by CVPR2021(oral)
链接:https://arxiv.org/abs/2104.00877


[3D/3D重建等相关]:

【1】 NPMs: Neural Parametric Models for 3D Deformable Shapes
标题:NPMS:三维变形形状的神经参数化模型
:Pablo Palafox,Aljaž Božič,Justus Thies,Matthias Nießner,Angela Dai

组织:Technical University of Munich, Latent, Code, Optimization, P, P, PN, +, ●●, Shape, MLP, tN, Monocular Depth Sequence, Posed Reconstruction

补白:Video: this https URL
链接:https://arxiv.org/abs/2104.00702


[其他视频相关]:

【1】 Developing a New Autism Diagnosis Process Based on a Hybrid Deep  Learning Architecture Through Analyzing Home Videos
标题:经过剖析家庭视频开发根据混合深度学习架构的自闭症确诊新流程
:Spencer He,Ryan Liu

补白:11 pages, 3 figures, 4 tables Accepted by International Conference on Artificial Intelligence and Machine Learning for Healthcare Applications (ICAIMLHA 2021)
链接:https://arxiv.org/abs/2104.01137

【2】 Language-based Video Editing via Multi-Modal Multi-Level Transformer
标题
:Tsu-Jui Fu,Xin Eric Wang,Scott T. Grafton,Miguel P. Eckstein,William Yang Wang

组织:UC Santa Barbara UC Santa Cruz

补白:11 pages, 6 figures
链接:https://arxiv.org/abs/2104.01122

【3】 A Combined Deep Learning based End-to-End Video Coding Architecture for  YUV Color Space
标题:一种根据组合深度学习的YUV色彩空间端到端视频编码结构
:Ankitesh K. Singh,Hilmi E. Egilmez,Reza Pourreza,Muhammed Coban,Marta Karczewicz,Taco S. Cohen

组织:Qualcomm Technologies, Inc., San Diego, USA, Qualcomm Technologies Netherlands B., Amsterdam, Netherlands

补白:5 pages, submitted to as a conference paper. arXiv admin note: text overlap with arXiv:2103.01760
链接:https://arxiv.org/abs/2104.00807


[其他]:

【1】 LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
标题:Levit:ConvNet服装中的视觉转换器,用于更快的推理
:Ben Graham,Alaaeldin El-Nouby,Hugo Touvron,Pierre Stock,Armand Joulin,Hervé Jégou,Matthijs Douze

组织:Herve Jegou, Matthijs douze

链接:https://arxiv.org/abs/2104.01136

【2】 Scene Graphs: A Survey of Generations and Applications
标题:场景图:发生和运用总述
:Xiaojun Chang,Pengzhen Ren,Pengfei Xu,Zhihui Li,Xiaojiang Chen,Alex Hauptmann

补白:21 pages
链接:https://arxiv.org/abs/2104.01111

【3】 Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
标题:测地线B评分在膝骨性关节炎评价中的运用
:Felix Ambellan,Stefan Zachow,Christoph von Tycowicz

组织:Visual and Data-centric Computing, Zuse Institute Berlin, Berlin, Germany

补白:To be published in: Proc. International Conference on Information Processing in Medical Imaging (IPMI) 2021
链接:https://arxiv.org/abs/2104.01107

【4】 Legibility Enhancement of Papyri Using Color Processing and Visual  Illusions: A Case Study in Critical Vision
标题:运用色彩处理和视觉幻觉进步纸质资料的易读性--以批判性视觉为例
:Vlad Atanasiu,Isabelle Marthot-Santaniello

补白:Article accepted with minor revisions by the International Journal on Document Analysis and Recognition (IJDAR) on 2021.03.11. Open Source software accessible at this https URL
链接:https://arxiv.org/abs/2104.01106

【5】 MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
标题:MOST:一种面向多方向的本地化细化场景文本检测器
:Minghang He,Minghui Liao,Zhibo Yang,Humen Zhong,Jun Tang,Wenqing Cheng,Cong Yao,Yongpan Wang,Xiang Bai

组织:Huazhong University of Science and Technology, Alibaba Group? Nanjing University

补白:Accepted by CVPR21
链接:https://arxiv.org/abs/2104.01070

【6】 LiftPool: Bidirectional ConvNet Pooling
标题:LiftPool:双向ConvNet池
:Jiaojiao Zhao,Cees G. M. Snoek

组织:Video Image Sense Lab, University of Amsterdam

补白:published on ICLR 2021
链接:https://arxiv.org/abs/2104.00996

【7】 A Detector-oblivious Multi-arm Network for Keypoint Matching
标题:一种根据愚钝多臂网络的要害点匹配检测器
:Xuelun Shen,Cheng Wang,Xin Li,qian hu,Jingyi Zhang

组织:Xiamen University Louisiana State University

链接:https://arxiv.org/abs/2104.00947

【8】 VisQA: X-raying Vision and Language Reasoning in Transformers
标题:VisQA:“Transformer”中的X射线视觉和言语推理
:Theo Jaunet,Corentin Kervadec,Romain Vuillemot,Grigory Antipov,Moez Baccouche,Christian Wolf

组织:tail , mert tiny init oracle pretra, k-ok,k,k,k,k-, top part of the photo?, acle-pretrain, RESET SELECTION Masked Heads:,, What is that knife in?, What's the knife in?, min med max, Is the bowl to the leftof broccoli?, Language Self-Attention, Is there a spoon that is made of wood?, ood: head GT: no, Is the spoon both sily, d metallic?, nol H--(,%), ]yes T-(,%), man|M, blueIM, orangeIM, Attention Map for head lv__,  Global statistics for head lv__, k=, Per Operation, anyen, apple, stem, Per group, Fig. ,. Opening the black box of neural models for vision and language reasoning given an open-ended question and an image, VISQA enables to investigate whether a trained model resorts to reasoning or to bias exploitation to provide its answer. This can be, achieved by exploring the behavior of a set of attention heads each producing an attention map , which manage how differ, items of the problem relate to each other. Heads can be selected , for instance, based on color-coded activity statistics. Their

链接:https://arxiv.org/abs/2104.00926

【9】 Data Augmentation with Manifold Barycenters
标题:运用流形重心增强数据
:Iaroslav Bespalov,Nazar Buzun,Oleg Kachan,Dmitry V. Dylov

补白:11 pages, 4 figures, 3 tables. I.B., N.B., O.K. contributed equally. D.V.D. is the corresponding author
链接:https://arxiv.org/abs/2104.00925

【10】 Datacentric analysis to reduce pedestrians accidents: A case study in  Colombia
标题:削减行人事端的数据中心剖析:哥伦比亚事例研讨
:Michael Puentes,Diana Novoa,John Delgado Nivia,Carlos Barrios Hernández,Oscar Carrillo,Frédéric Le Mouël

组织:Nivia, Carlos J. Barrios Hernandez ,[,-,-,], Oscar, ari-- nd Frederic Le,  Universidad Industrial de Santander,  Univ Lyon, CPE, INSA Lyon, Inria, CITI, EA, F-, Villeurbanne, France,  Univ Lyon, INSA Lyon, Inria, CITI, EA, F-, Villeurbanne, France

补白:None
链接:https://arxiv.org/abs/2104.00912

【11】 Multiple Heads are Better than One: Few-shot Font Generation with  Multiple Localized Experts
标题:多头比一头好:与多名本地化专家协作生成很少的字体
:Song Park,Sanghyuk Chun,Junbum Cha,Bado Lee,Hyunjung Shim

组织:Yonsei University , NAVER AI Lab , NAVER CLOVA

补白:14 pages, 11 figures
链接:https://arxiv.org/abs/2104.00887

【12】 Inference of Recyclable Objects with Convolutional Neural Networks
标题:卷积神经网络在可回收物体推理中的运用
:Jaime Caballero,Francisco Vergara,Randal Miranda,José Serracín

补白:11 pages, preprint version, comments are welcome!
链接:https://arxiv.org/abs/2104.00868

【13】 The Spatially-Correlative Loss for Various Image Translation Tasks
标题:不同图画翻译使命的空间相关性丢掉
:Chuanxia Zheng,Tat-Jen Cham,Jianfei Cai

组织:Nanyang Technological University, Singapore, Monash University, Australia

补白:14 pages, 12 figures
链接:https://arxiv.org/abs/2104.00854

【14】 Analyzing and Quantifying Generalization in Convolutional Neural  Networks
标题:卷积神经网络中的泛化剖析与量化
:Yang Zhao,Hao Zhang

补白:iccv submission
链接:https://arxiv.org/abs/2104.00851

【15】 SDAN: Squared Deformable Alignment Network for Learning Misaligned  Optical Zoom
标题:SDAN:用于学习未对准光学变焦的平方可变形对准网络
:Kangfu Mei,Shenglong Ye,Rui Huang

组织:Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen

补白:ICME21. Code is available at this https URL
链接:https://arxiv.org/abs/2104.00848
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