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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93,601 to 93,660 of 102,841

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu +2
cs.CVarXiv:2104.14540v22021
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Qiuqiang Kong, Yin Cao, Turab Iqbal +3
cs.SDeess.ASarXiv:1912.10211v52019
Feelium: A Touchable Blimp Body for Aerial Telepresence
George Xi Wang, Henghao Li, Shan Lin +3
cs.HCcs.ROarXiv:2608.29391v12026
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Hao Sun, Zhenru Lin, Chujie Zheng +2
cs.CLarXiv:2106.01702v12021
Carbon Emissions and Large Neural Network Training
David Patterson, Joseph Gonzalez, Quoc Le +6
cs.LGcs.CYarXiv:2104.10350v32021
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi +5
cs.LGarXiv:2106.11360v12021
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Andreas Holzinger, André Carrington, Heimo Müller
cs.AIarXiv:1912.09024v12019
LEO Small-Satellite Constellations for 5G and Beyond-5G Communications
Israel Leyva-Mayorga, Beatriz Soret, Maik Röper +4
cs.NIeess.SParXiv:1912.08110v42019
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
Ao Wang, Shuai Chang, Huangshi Tian +5
cs.DCarXiv:2105.11229v32021
Small Object Detection using Context and Attention
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon +1
cs.CVarXiv:1912.06319v22019
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang +4
cs.CVarXiv:2104.13188v12021
Toward Transformer-Based Object Detection
Josh Beal, Eric Kim, Eric Tzeng +3
cs.CVcs.AIcs.LGarXiv:2012.09958v12020
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu +3
cs.CVarXiv:2012.09688v42020
Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu, Fangzhao Wu, Tao Qi +1
cs.IRarXiv:2104.07413v12021
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding, Yuqi Huo, Hongwei Yi +4
cs.CVarXiv:1912.04799v22019
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang +5
cs.LGcs.CVarXiv:2106.06047v22021
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma +3
cs.CVarXiv:1912.02801v42019
From Federated Learning to Federated Neural Architecture Search: A Survey
Hangyu Zhu, Haoyu Zhang, Yaochu Jin
cs.DCarXiv:2009.05868v12020
Joint Radar and Communication: A Survey
Zhiyong Feng, Zixi Fang, Zhiqing Wei +3
cs.ITarXiv:2103.00496v12021
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
Shen-Yun Miao, Chao-Chun Liang, Keh-Yih Su
cs.AIcs.CLarXiv:2106.15772v12021
GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger
Shaoxiong Wang, Yu She, Branden Romero +1
cs.ROcs.CVarXiv:2106.08851v12021
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Su Pang, Daniel Morris, Hayder Radha
cs.CVarXiv:2009.00784v12020
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter
Colin Lea, Vikramjit Mitra, Aparna Joshi +2
eess.AScs.SDarXiv:2102.12394v12021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon +1
cs.CVarXiv:2104.04015v12021
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
Leonardo Pepino, Pablo Riera, Luciana Ferrer
cs.SDcs.LGeess.ASarXiv:2104.03502v12021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Shengheng Deng, Xun Xu, Chaozheng Wu +2
cs.CVarXiv:2103.16397v22021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman, George E. Dahl
cs.CLarXiv:2104.02145v32021
A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
Chongwei Liu, Haojie Li, Shuchang Wang +4
cs.CVarXiv:2106.05681v12021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou, Stéphane Canu, Pierre Vera +1
eess.IVcs.CVarXiv:2104.06231v22021
BRepNet: A topological message passing system for solid models
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3
cs.LGcs.CVarXiv:2104.00706v22021
Comprehensive Comparative Study of Multi-Label Classification Methods
Jasmin Bogatinovski, Ljupčo Todorovski, Sašo Džeroski +1
cs.LGcs.AIcs.CCarXiv:2102.07113v22021
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions
Noboru Harada, Daisuke Niizumi, Daiki Takeuchi +3
eess.ASarXiv:2106.02369v12021
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Xiao Pan, Mingxuan Wang, Liwei Wu +1
cs.CLcs.LGarXiv:2105.09501v32021
Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms
Marin Jovanovic, David Sjodin, Vinit Parida
cs.SEarXiv:2102.04862v12021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho, Utkarsh Mall, Kavita Bala +1
cs.CVarXiv:2103.17070v12021
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito, Kate Saenko
cs.CVarXiv:2104.03344v42021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse, Ying Wang, Yizhe Zhang +1
cs.CVcs.LGarXiv:2104.02745v22021
Vision Transformer for Fast and Efficient Scene Text Recognition
Rowel Atienza
cs.CVarXiv:2105.08582v12021
Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli, Ishita Dasgupta, Erin Grant +1
cs.CVarXiv:2105.07197v22021
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen, Saining Xie, Kaiming He
cs.CVcs.LGarXiv:2104.02057v42021
A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao +1
cs.CLcs.AIcs.LGarXiv:1911.04700v12019
Including Signed Languages in Natural Language Processing
Kayo Yin, Amit Moryossef, Julie Hochgesang +2
cs.CLcs.AIcs.LGarXiv:2105.05222v22021
Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari +1
cs.CVarXiv:2102.01987v32021
Pointly-Supervised Instance Segmentation
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
cs.CVarXiv:2104.06404v22021
Going deeper with Image Transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles +2
cs.CVarXiv:2103.17239v22021
Learning To Count Everything
Viresh Ranjan, Udbhav Sharma, Thu Nguyen +1
cs.CVarXiv:2104.08391v12021
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion
Fuyan Ma, Bin Sun, Shutao Li
cs.CVarXiv:2103.16854v32021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang +1
cs.CLcs.AIarXiv:2104.04670v52021
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
cs.CVcs.CLarXiv:2103.16002v12021
SMPLicit: Topology-aware Generative Model for Clothed People
Enric Corona, Albert Pumarola, Guillem Alenyà +2
cs.CVarXiv:2103.06871v22021
Point Cloud Upsampling via Disentangled Refinement
Ruihui Li, Xianzhi Li, Pheng-Ann Heng +1
cs.CVarXiv:2106.04779v12021
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du, Chenxia Li, Ruoyu Guo +8
cs.CVarXiv:2009.09941v32020
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
Mathias Gehrig, Willem Aarents, Daniel Gehrig +1
cs.CVcs.ROarXiv:2103.06011v12021
Semi-Supervised Joint Estimation of Word and Document Readability
Yoshinari Fujinuma, Masato Hagiwara
cs.CLarXiv:2104.13103v12021
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Andrey V. Savchenko
cs.CVarXiv:2103.17107v32021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Bowen Cheng, Ross Girshick, Piotr Dollár +2
cs.CVarXiv:2103.16562v12021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Xiangtao Kong, Hengyuan Zhao, Yu Qiao +1
cs.CVarXiv:2103.04039v12021
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement
Hamed Hemati, Damian Borth
cs.SDcs.LGeess.ASarXiv:2011.06392v22020
Self-Correction for Human Parsing
Peike Li, Yunqiu Xu, Yunchao Wei +1
cs.CVcs.LGeess.IVarXiv:1910.09777v12019
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Hammam Alshazly, Christoph Linse, Erhardt Barth +1
eess.IVcs.CVarXiv:2011.05317v12020

Every paper with a summary

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Feelium: A Touchable Blimp Body for Aerial Telepresence

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

Carbon Emissions and Large Neural Network Training

Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

LEO Small-Satellite Constellations for 5G and Beyond-5G Communications

FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute

Small Object Detection using Context and Attention

Rethinking BiSeNet For Real-time Semantic Segmentation

Toward Transformer-Based Object Detection

PCT: Point cloud transformer

Empowering News Recommendation with Pre-trained Language Models

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

PolyTransform: Deep Polygon Transformer for Instance Segmentation

From Federated Learning to Federated Neural Architecture Search: A Survey

Joint Radar and Communication: A Survey

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

What Will it Take to Fix Benchmarking in Natural Language Understanding?

A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities

BRepNet: A topological message passing system for solid models

Comprehensive Comparative Study of Multi-Label Classification Methods

ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

OVANet: One-vs-All Network for Universal Domain Adaptation

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

Vision Transformer for Fast and Efficient Scene Text Recognition

Are Convolutional Neural Networks or Transformers more like human vision?

An Empirical Study of Training Self-Supervised Vision Transformers

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

Including Signed Languages in Natural Language Processing

Learning Graph Embeddings for Compositional Zero-shot Learning

Pointly-Supervised Instance Segmentation

Going deeper with Image Transformers

Learning To Count Everything

Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning

SMPLicit: Topology-aware Generative Model for Clothed People

Point Cloud Upsampling via Disentangled Refinement

PP-OCR: A Practical Ultra Lightweight OCR System

DSEC: A Stereo Event Camera Dataset for Driving Scenarios

Semi-Supervised Joint Estimation of Word and Document Readability

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement

Self-Correction for Human Parsing

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning