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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110,161 to 110,220 of 119,549

BoxInst: High-Performance Instance Segmentation with Box Annotations
Zhi Tian, Chunhua Shen, Xinlong Wang +1
cs.CVarXiv:2012.02310v12020
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu +3
cs.CVcs.CLcs.LGarXiv:2108.10904v32021
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
eess.IVcs.CVarXiv:2108.10257v12021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari, Hanie Sedghi, Olga Saukh +1
cs.LGarXiv:2110.06296v22021
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang, Ziyu Guo, Wei Zhang +6
cs.CVcs.AIcs.ROarXiv:2112.02413v12021
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu, Hao Peng, Ashish Sabharwal +2
cs.CLcs.AIcs.LGarXiv:2210.00720v22022
Light Field Image Super-Resolution with Transformers
Zhengyu Liang, Yingqian Wang, Longguang Wang +2
cs.CVarXiv:2108.07597v22021
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang +1
cs.CVarXiv:2108.07002v32021
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Alex Warstadt, Samuel R. Bowman
cs.CLarXiv:2208.07998v22022
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
Thierry Tambe, Coleman Hooper, Lillian Pentecost +8
cs.ARcs.CLarXiv:2011.14203v52020
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Mohammed Jouhari, Nasir Saeed, Mohamed-Slim Alouini +1
cs.NIeess.SParXiv:2202.11082v32022
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Fuxin Zhang, Chunbo Luo, Jialang Xu +1
eess.SPcs.LGarXiv:2110.04980v12021
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Yinhao Li, Zheng Ge, Guanyi Yu +5
cs.CVarXiv:2206.10092v22022
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
cs.CYarXiv:2110.01963v12021
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
eess.IVcs.CVcs.LGarXiv:2206.08023v32022
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen, Roman Novak, Lechao Xiao +1
cs.LGarXiv:2107.13034v32021
Terahertz Communications for 6G and Beyond Wireless Networks: Challenges, Key Advancements, and Opportunities
Akram Shafie, Nan Yang, Chong Han +3
eess.SParXiv:2207.11021v12022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
cs.GRcs.CVarXiv:2206.03380v22022
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
Huan Fu, Bowen Cai, Lin Gao +7
cs.CVarXiv:2011.09127v22020
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Hai Dang, Lukas Mecke, Florian Lehmann +2
cs.HCcs.CLarXiv:2209.01390v12022
6G Wireless Communications: From Far-field Beam Steering to Near-field Beam Focusing
Haiyang Zhang, Nir Shlezinger, Francesco Guidi +2
eess.SParXiv:2203.13035v32022
Speech Emotion Recognition using Self-Supervised Features
Edmilson Morais, Ron Hoory, Weizhong Zhu +3
cs.SDcs.AIcs.LGarXiv:2202.03896v12022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jože M. Rožanec, Inna Novalija, Patrik Zajec +17
cs.AIarXiv:2203.10794v22022
Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.LGarXiv:2205.14334v22022
ProGen2: Exploring the Boundaries of Protein Language Models
Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein +2
cs.LGq-bio.QMarXiv:2206.13517v12022
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
cs.LGarXiv:2011.02834v12020
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh +2
cs.CVarXiv:2011.00362v32020
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning +22
cs.CVarXiv:2206.06694v12022
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li +1
cs.CVcs.LGarXiv:2205.09113v22022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming, Yiyou Sun, Ousmane Dia +1
cs.CVcs.LGarXiv:2203.04450v32022
ASFormer: Transformer for Action Segmentation
Fangqiu Yi, Hongyu Wen, Tingting Jiang
cs.CVarXiv:2110.08568v12021
Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization
Nathan Hughes, Yun Chang, Luca Carlone
cs.ROarXiv:2201.13360v22022
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks
Abdelwahab Boualouache, Thomas Engel
cs.CRcs.LGcs.NIarXiv:2201.10500v12022
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar, Mannat Singh, Nikhila Ravi +3
cs.CVcs.AIcs.IRarXiv:2201.08377v22022
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
Hao Ai, Zidong Cao, Jinjing Zhu +3
cs.CVarXiv:2205.10468v22022
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges
Dimitrios Kollias
cs.CVarXiv:2207.01138v22022
A data-driven approach for learning to control computers
Peter C Humphreys, David Raposo, Toby Pohlen +8
cs.LGarXiv:2202.08137v22022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström, Leander Weber, Dilyara Bareeva +5
cs.LGarXiv:2202.06861v32022
Image Data Augmentation for Deep Learning: A Survey
Suorong Yang, Weikang Xiao, Mengchen Zhang +3
cs.CVarXiv:2204.08610v22022
Better plain ViT baselines for ImageNet-1k
Lucas Beyer, Xiaohua Zhai, Alexander Kolesnikov
cs.CVarXiv:2205.01580v12022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Baoyuan Wu, Hongrui Chen, Mingda Zhang +4
cs.LGcs.CRarXiv:2206.12654v22022
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Jiang Hai, Zhu Xuan, Songchen Han +4
cs.CVeess.IVarXiv:2106.14501v22021
Real-time gravitational-wave science with neural posterior estimation
Maximilian Dax, Stephen R. Green, Jonathan Gair +3
gr-qcastro-ph.IMcs.LGarXiv:2106.12594v22021
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
Hanxuan Cai, Huimin Zhang, Duancheng Zhao +2
q-bio.MNcs.LGarXiv:2205.03834v12022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li, Xiang Li, Yujie Wang +3
cs.CVcs.AIarXiv:2203.16317v22022
A Neural Corpus Indexer for Document Retrieval
Yujing Wang, Yingyan Hou, Haonan Wang +13
cs.IRarXiv:2206.02743v32022
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Yingfei Liu, Junjie Yan, Fan Jia +5
cs.CVarXiv:2206.01256v32022
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
Patrick Ebel, Yajin Xu, Michael Schmitt +1
cs.CVeess.IVarXiv:2201.09613v12022
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation
Haresh Karnan, Anirudh Nair, Xuesu Xiao +6
cs.ROcs.CVcs.LGarXiv:2203.15041v22022
A Survey on Non-Geostationary Satellite Systems: The Communication Perspective
Hayder Al-Hraishawi, Houcine Chougrani, Steven Kisseleff +2
eess.SParXiv:2107.05312v42021
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Ziang Cao, Changhong Fu, Junjie Ye +2
cs.CVarXiv:2106.08816v22021
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?
Adam W. Harley, Zhaoyuan Fang, Jie Li +2
cs.CVarXiv:2206.07959v22022
Densely Guided Knowledge Distillation using Multiple Teacher Assistants
Wonchul Son, Jaemin Na, Junyong Choi +1
cs.CVarXiv:2009.08825v32020
Network Digital Twin: Context, Enabling Technologies and Opportunities
Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse +13
cs.NIarXiv:2205.14206v22022
The Hardware Lottery
Sara Hooker
cs.CYcs.AIcs.ARarXiv:2009.06489v22020
CLIP-Event: Connecting Text and Images with Event Structures
Manling Li, Ruochen Xu, Shuohang Wang +6
cs.CVcs.AIarXiv:2201.05078v22022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang, Jiangning Zhang, Shiwei Zhao +3
cs.CVarXiv:2203.00259v22022
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yizhen Luo, Mao Shu +8
cs.CVcs.AIarXiv:2204.05575v12022
Vision-based Anti-UAV Detection and Tracking
Jie Zhao, Jingshu Zhang, Dongdong Li +1
cs.CVarXiv:2205.10851v12022
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
Jiacong Xu, Zixiang Xiong, Shankar P. Bhattacharyya
cs.CVcs.AIarXiv:2206.02066v32022

Every paper with a summary

BoxInst: High-Performance Instance Segmentation with Box Annotations

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

SwinIR: Image Restoration Using Swin Transformer

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

PointCLIP: Point Cloud Understanding by CLIP

Complexity-Based Prompting for Multi-Step Reasoning

Light Field Image Super-Resolution with Transformers

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

What Artificial Neural Networks Can Tell Us About Human Language Acquisition

EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference

A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Multimodal datasets: misogyny, pornography, and malignant stereotypes

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Dataset Distillation with Infinitely Wide Convolutional Networks

Terahertz Communications for 6G and Beyond Wireless Networks: Challenges, Key Advancements, and Opportunities

Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics

How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

6G Wireless Communications: From Far-field Beam Steering to Near-field Beam Focusing

Speech Emotion Recognition using Self-Supervised Features

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

Teaching Models to Express Their Uncertainty in Words

ProGen2: Exploring the Boundaries of Protein Language Models

Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges

A Survey on Contrastive Self-supervised Learning

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Masked Autoencoders As Spatiotemporal Learners

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

ASFormer: Transformer for Action Segmentation

Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks

Omnivore: A Single Model for Many Visual Modalities

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges

A data-driven approach for learning to control computers

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Image Data Augmentation for Deep Learning: A Survey

Better plain ViT baselines for ImageNet-1k

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network

Real-time gravitational-wave science with neural posterior estimation

FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

A Neural Corpus Indexer for Document Retrieval

PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

A Survey on Non-Geostationary Satellite Systems: The Communication Perspective

SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?

Densely Guided Knowledge Distillation using Multiple Teacher Assistants

Network Digital Twin: Context, Enabling Technologies and Opportunities

The Hardware Lottery

CLIP-Event: Connecting Text and Images with Event Structures

Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

Vision-based Anti-UAV Detection and Tracking

PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers