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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94,081 to 94,140 of 102,770

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020
Can AI help in screening Viral and COVID-19 pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9
cs.LGcs.CVarXiv:2003.13145v32020
The Marathon 2: A Navigation System
Steve Macenski, Francisco Martín, Ruffin White +1
cs.ROarXiv:2003.00368v22020
Recent developments in the PySCF program package
Qiming Sun, Xing Zhang, Samragni Banerjee +46
physics.chem-phphysics.comp-pharXiv:2002.12531v22020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Max Bartolo, Alastair Roberts, Johannes Welbl +2
cs.CLarXiv:2002.00293v22020
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
Ilker Bozcan, Erdal Kayacan
cs.CVcs.ROarXiv:2001.11737v22020
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen +1
cs.CLcs.AIarXiv:1909.02151v12019
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David +4
cs.CVarXiv:2003.14032v22020
ResNeSt: Split-Attention Networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang +9
cs.CVarXiv:2004.08955v22020
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
Xiaobin Liu, Shiliang Zhang, Qingming Huang +1
cs.CVarXiv:1806.09283v12018
Dynamic Malware Analysis with Feature Engineering and Feature Learning
Zhaoqi Zhang, Panpan Qi, Wei Wang
cs.CRcs.LGarXiv:1907.07352v52019
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Jonathan Munro, Dima Damen
cs.CVarXiv:2001.09691v22020
Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
Maliheh Aramon, Gili Rosenberg, Elisabetta Valiante +3
physics.comp-phcond-mat.stat-mechcs.DMarXiv:1806.08815v32018
Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
Xiaodong Cun, Chi-Man Pun
cs.CVarXiv:1907.06406v32019
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
cs.LGstat.MLarXiv:2002.04803v22020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei, Guosheng Lin, Kim-Hui Yap +2
cs.CVarXiv:2003.13035v12020
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Weihao Yu, Zihang Jiang, Yanfei Dong +1
cs.CLcs.AIcs.LGarXiv:2002.04326v32020
Actor-Transformers for Group Activity Recognition
Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan +1
cs.CVarXiv:2003.12737v12020
Detection and Tracking Meet Drones Challenge
Pengfei Zhu, Longyin Wen, Dawei Du +4
cs.CVarXiv:2001.06303v32020
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang +13
q-bio.QMcs.CVcs.LGarXiv:1909.06326v12019
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang +3
cs.IRcs.LGarXiv:2001.04830v12019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
Hao-Shu Fang, Jianhua Sun, Runzhong Wang +3
cs.CVarXiv:1908.07801v12019
3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf +1
cs.CVeess.IVarXiv:2004.04727v32020
Natural Image Matting via Guided Contextual Attention
Yaoyi Li, Hongtao Lu
cs.CVarXiv:2001.04069v12020
DeepFake Detection: Current Challenges and Next Steps
Siwei Lyu
cs.CVarXiv:2003.09234v12020
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Qibin Hou, Li Zhang, Ming-Ming Cheng +1
cs.CVarXiv:2003.13328v12020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
eess.IVcs.CVarXiv:2001.06535v32020
Convolutional Networks with Dense Connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss +2
cs.LGcs.CVstat.MLarXiv:2001.02394v12020
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal +4
cs.CVcs.LGarXiv:2004.02025v32020
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao, Junyu Gao, Qingjie Liu +2
cs.CVarXiv:2003.12783v12020
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
stat.MLcond-mat.dis-nncs.LGarXiv:1806.01316v32018
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
Jan Czarnowski, Tristan Laidlow, Ronald Clark +1
cs.CVarXiv:2001.05049v12020
A Comparative Review of Recent Kinect-based Action Recognition Algorithms
Lei Wang, Du Q. Huynh, Piotr Koniusz
cs.CVarXiv:1906.09955v12019
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
Osman Semih Kayhan, Jan C. van Gemert
cs.CVcs.LGeess.IVarXiv:2003.07064v22020
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Yilun Chen, Shu Liu, Xiaoyong Shen +1
cs.CVarXiv:2001.03398v32020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
Udit Gupta, Samuel Hsia, Vikram Saraph +6
cs.DCarXiv:2001.02772v12020
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri +7
cs.DCarXiv:2003.03423v32020
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner +3
cs.ROcs.AIcs.LGarXiv:1906.08880v22019
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
Simon James Fong, Gloria Li, Nilanjan Dey +2
stat.APq-bio.PEarXiv:2003.10776v12020
Towards Unified INT8 Training for Convolutional Neural Network
Feng Zhu, Ruihao Gong, Fengwei Yu +5
cs.LGcs.CVarXiv:1912.12607v12019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
eess.IVcs.CVcs.LGarXiv:1912.11027v22019
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan +2
cs.CVarXiv:2003.07833v22020
DADA: Driver Attention Prediction in Driving Accident Scenarios
Jianwu Fang, Dingxin Yan, Jiahuan Qiao +2
cs.CVarXiv:1912.12148v22019
NAS evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci
cs.LGcs.CVstat.MLarXiv:1912.12522v32019
VIFB: A Visible and Infrared Image Fusion Benchmark
Xingchen Zhang, Ping Ye, Gang Xiao
cs.CVcs.MMarXiv:2002.03322v42020
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Huai-Qian Khor, John See, Raphael C. W. Phan +1
cs.CVarXiv:1805.08417v12018
High-accuracy inertial measurements with cold-atom sensors
Remi Geiger, Arnaud Landragin, Sébastien Merlet +1
physics.atom-phphysics.app-phphysics.ins-detarXiv:2003.12516v12020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti, Richard Bowden, Yaochu Jin +2
cs.LGcs.CVeess.SYarXiv:1912.10773v12019
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi, Ragunathan, Rajkumar
cs.CVarXiv:2003.01251v12020
Scale Match for Tiny Person Detection
Xuehui Yu, Yuqi Gong, Nan Jiang +2
cs.CVarXiv:1912.10664v12019
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim, Hyeran Byun
cs.CVarXiv:2003.00867v22020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Zhenqiang Ying, Haoran Niu, Praful Gupta +3
cs.CVcs.MMeess.IVarXiv:1912.10088v12019
Enforcing geometric constraints of virtual normal for depth prediction
Wei Yin, Yifan Liu, Chunhua Shen +1
cs.CVarXiv:1907.12209v22019
Continuous speech separation: dataset and analysis
Zhuo Chen, Takuya Yoshioka, Liang Lu +6
cs.SDcs.LGeess.ASarXiv:2001.11482v32020
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
cs.CYcs.AIcs.LGarXiv:2003.11336v32020
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang, Binh-Son Hua, David W. Rosen +1
cs.CVarXiv:1908.06297v12019
Learning Dual Convolutional Neural Networks for Low-Level Vision
Jinshan Pan, Sifei Liu, Deqing Sun +8
cs.CVarXiv:1805.05020v12018
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi, Danqi Chen, Yinhan Liu +3
cs.CLcs.LGarXiv:1907.10529v32019

Every paper with a summary

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays

Can AI help in screening Viral and COVID-19 pneumonia?

The Marathon 2: A Navigation System

Recent developments in the PySCF program package

Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension

AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

ResNeSt: Split-Attention Networks

RAM: A Region-Aware Deep Model for Vehicle Re-Identification

Dynamic Malware Analysis with Feature Engineering and Feature Learning

Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer

Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Actor-Transformers for Group Activity Recognition

Detection and Tracking Meet Drones Challenge

Pre-training Tasks for Embedding-based Large-scale Retrieval

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning

Sequential Recommender Systems: Challenges, Progress and Prospects

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

3D Photography using Context-aware Layered Depth Inpainting

Natural Image Matting via Guided Contextual Attention

DeepFake Detection: Current Challenges and Next Steps

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

Convolutional Networks with Dense Connectivity

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

CNN-based Density Estimation and Crowd Counting: A Survey

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach

DeepFactors: Real-Time Probabilistic Dense Monocular SLAM

A Comparative Review of Recent Kinect-based Action Recognition Algorithms

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

DSGN: Deep Stereo Geometry Network for 3D Object Detection

DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak

Towards Unified INT8 Training for Convolutional Neural Network

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

DADA: Driver Attention Prediction in Driving Accident Scenarios

NAS evaluation is frustratingly hard

VIFB: A Visible and Infrared Image Fusion Benchmark

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

High-accuracy inertial measurements with cold-atom sensors

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

Scale Match for Tiny Person Detection

Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

Enforcing geometric constraints of virtual normal for depth prediction

Continuous speech separation: dataset and analysis

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

Learning Dual Convolutional Neural Networks for Low-Level Vision

SpanBERT: Improving Pre-training by Representing and Predicting Spans