Every paper with a summary
Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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110,641 to 110,700 of 119,334
Few-shot Scene-adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy +1
cs.CVcs.LGarXiv:2007.07843v12020Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
Minghui Liao, Guan Pang, Jing Huang +2
cs.CVarXiv:2007.09482v12020Temperate Fish Detection and Classification: a Deep Learning based Approach
Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen +4
cs.CVcs.LGeess.IVarXiv:2005.07518v12020Physical reservoir computing -- An introductory perspective
Kohei Nakajima
nlin.AOcs.LGphysics.app-pharXiv:2005.00992v12020Low-resource Languages: A Review of Past Work and Future Challenges
Alexandre Magueresse, Vincent Carles, Evan Heetderks
cs.CLarXiv:2006.07264v12020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck
eess.AScs.SDarXiv:2005.07143v32020A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu +2
cs.CLarXiv:2005.00796v42020Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang, Huan Yang, Jianlong Fu +2
cs.CVarXiv:2006.04139v22020Summarizing Videos with Attention
Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou +2
cs.CVcs.CLcs.LGarXiv:1812.01969v22018GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Hanrui Wang, Kuan Wang, Jiacheng Yang +4
eess.SPcs.LGarXiv:2005.00406v12020DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy +11
cs.CVcs.LGcs.MMarXiv:2005.05535v52020Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
Po-Han Chi, Pei-Hung Chung, Tsung-Han Wu +4
eess.AScs.CLcs.SDarXiv:2005.08575v52020Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng, Nicholas Tustison, Craig Meyer
cs.CVarXiv:1812.01049v12018Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement
Jiaming Qian, Shijie Feng, Tianyang Tao +4
eess.IVarXiv:2001.01439v22020Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
cs.LGcs.AIcs.DBarXiv:1811.12823v52018WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing
Kaihang Pan, Weile Chen, Haiyi Qiu +6
cs.CVarXiv:2512.00387v22025Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
Zhengzheng Tu, Zhun Li, Chenglong Li +2
cs.CVarXiv:2005.02315v32020PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
Siqi Bao, Huang He, Fan Wang +6
cs.CLarXiv:2006.16779v42020A survey of loss functions for semantic segmentation
Shruti Jadon
eess.IVcs.CVcs.LGarXiv:2006.14822v42020The AVA-Kinetics Localized Human Actions Video Dataset
Ang Li, Meghana Thotakuri, David A. Ross +3
cs.CVcs.LGeess.IVarXiv:2005.00214v22020Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi, Xin Yu, Dylan Campbell +1
cs.CVarXiv:2005.03860v12020Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences
Ruotong Wang, F. Maxwell Harper, Haiyi Zhu
cs.HCarXiv:2001.09604v12020DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Nina Varney, Vijayan K. Asari, Quinn Graehling
cs.CVcs.LGstat.MLarXiv:2004.11985v12020LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta, Justin Lazarow, Alessandro Achille +3
cs.CVcs.LGarXiv:2006.14615v22020SynSin: End-to-end View Synthesis from a Single Image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski +1
cs.CVarXiv:1912.08804v22019Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche +6
cs.CVcs.LGcs.ROarXiv:1911.05063v22019SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger +1
cs.CVarXiv:1911.04623v22019VGGSound: A Large-scale Audio-Visual Dataset
Honglie Chen, Weidi Xie, Andrea Vedaldi +1
cs.CVcs.SDeess.ASarXiv:2004.14368v22020DIET: Lightweight Language Understanding for Dialogue Systems
Tanja Bunk, Daksh Varshneya, Vladimir Vlasov +1
cs.CLarXiv:2004.09936v32020Action Genome: Actions as Composition of Spatio-temporal Scene Graphs
Jingwei Ji, Ranjay Krishna, Li Fei-Fei +1
cs.CVarXiv:1912.06992v12019Open, Programmable, and Virtualized 5G Networks: State-of-the-Art and the Road Ahead
Leonardo Bonati, Michele Polese, Salvatore D'Oro +2
cs.NIarXiv:2005.10027v52020Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
cs.CVcs.LGarXiv:2006.10219v32020Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic
Harjinder Singh Lallie, Lynsay A. Shepherd, Jason R. C. Nurse +4
cs.CRcs.CYcs.HCarXiv:2006.11929v12020AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images
Jiaojiao Li, Chaoxiong Wu, Rui Song +2
eess.IVcs.CVarXiv:2005.09305v12020Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu +8
eess.AScs.LGcs.SDarXiv:2005.08100v12020Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
Saturnino Luz, Fasih Haider, Sofia de la Fuente +2
eess.AScs.LGstat.MLarXiv:2004.06833v32020$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu +2
cs.CRcs.LGarXiv:2001.02334v12020MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu, Leida Li, Jinjian Wu +2
eess.IVcs.CVarXiv:2004.05508v12020A survey of face recognition techniques under occlusion
Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
cs.CVarXiv:2006.11366v12020GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Lianghua Huang, Xin Zhao, Kaiqi Huang
cs.CVarXiv:1810.11981v32018A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
cs.LGstat.MLarXiv:2004.11791v22020Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi +2
cs.ITeess.SParXiv:2001.00364v32020Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Elsbeth Turcan, Kathleen McKeown
cs.CLarXiv:1911.00133v12019X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
cs.CVarXiv:2004.04730v12020Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian +2
cs.LGstat.MLarXiv:1810.11730v32018Security of the Internet of Things: Vulnerabilities, Attacks and Countermeasures
Ismail Butun, Patrik Österberg, Houbing Song
cs.CRcs.NIarXiv:1910.13312v12019Improved Deep Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:2006.09043v22020MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020Lio -- A Personal Robot Assistant for Human-Robot Interaction and Care Applications
Justinas Miseikis, Pietro Caroni, Patricia Duchamp +8
cs.ROcs.AIcs.HCarXiv:2006.09019v12020Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
cs.LGcs.CVstat.MLarXiv:2006.07589v22020Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang +3
cs.CLcs.LGarXiv:1912.11637v12019Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst, Tinne Tuytelaars
cs.CVarXiv:1912.03203v32019TLDR: Extreme Summarization of Scientific Documents
Isabel Cachola, Kyle Lo, Arman Cohan +1
cs.CLarXiv:2004.15011v32020Recent advances in opinion propagation dynamics: A 2020 Survey
Hossein Noorazar
physics.soc-phcs.SIarXiv:2004.05286v32020Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Paul Michel, Graham Neubig
cs.LGcs.CLcs.CRarXiv:2004.06660v12020Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
cs.LGcs.AIstat.MLarXiv:1910.07207v22019Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text
Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini +1
cs.CLarXiv:2006.00206v12020Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai +2
cs.CVarXiv:1910.06278v12019Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018