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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39,601 to 39,660 of 61,348

X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
cs.CVarXiv:2004.04730v12020
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
Hao Chen, Kunyang Sun, Zhi Tian +3
cs.CVarXiv:2001.00309v32020
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
Yisheng He, Wei Sun, Haibin Huang +3
cs.CVcs.ROarXiv:1911.04231v22019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019
FSGAN: Subject Agnostic Face Swapping and Reenactment
Yuval Nirkin, Yosi Keller, Tal Hassner
cs.CVcs.GRcs.LGarXiv:1908.05932v12019
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
cs.CVcs.LGeess.IVarXiv:1908.05612v62019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
Yuenan Hou, Zheng Ma, Chunxiao Liu +1
cs.CVarXiv:1908.00821v12019
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang, Yu-Chin Chan, Faez Ahmed +3
cs.CEcs.LGstat.MLarXiv:2006.15274v22020
Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead
Fan Liu, Christos Masouros, Athina Petropulu +2
eess.SParXiv:1906.00789v12019
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
cs.LGstat.MLarXiv:2006.01107v12020
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai +2
cs.CVcs.LGcs.ROarXiv:1905.02693v42019
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang +1
cs.CVarXiv:1904.06587v12019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu +2
cs.CVarXiv:1901.09221v32019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub +2
cs.CVarXiv:1901.05103v12019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang +3
cs.CVarXiv:1901.02970v22019
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
cs.CVarXiv:1812.11941v22018
Ensemble-based Multi-Filter Feature Selection Method for DDoS Detection in Cloud Computing
Opeyemi Osanaiye, Kim-Kwang Raymond Choo2, Ali Dehghantanha +2
cs.CRarXiv:1807.10443v12018
Cable Manipulation with a Tactile-Reactive Gripper
Yu She, Shaoxiong Wang, Siyuan Dong +3
cs.ROeess.IVeess.SYarXiv:1910.02860v32019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong +4
cs.CVcs.LGarXiv:1811.11553v32018
Benchmark Analysis of Representative Deep Neural Network Architectures
Simone Bianco, Remi Cadene, Luigi Celona +1
cs.CVarXiv:1810.00736v22018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
stat.MLcs.LGarXiv:1805.07226v22018
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction
Sungmin Kang, Juyeon Yoon, Shin Yoo
cs.SEarXiv:2209.11515v32022
WHFast: A fast and unbiased implementation of a symplectic Wisdom-Holman integrator for long term gravitational simulations
Hanno Rein, Daniel Tamayo
astro-ph.EPastro-ph.IMmath.NAarXiv:1506.01084v12015
DEIM: DETR with Improved Matching for Fast Convergence
Shihua Huang, Zhichao Lu, Xiaodong Cun +3
cs.CVcs.AIarXiv:2412.04234v32024
Extending the computational reach of a noisy superconducting quantum processor
Abhinav Kandala, Kristan Temme, Antonio D. Corcoles +3
quant-pharXiv:1805.04492v12018
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis Bach
cs.LGmath.NAstat.MLarXiv:1502.06800v22015
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
Vision Meets Drones: A Challenge
Pengfei Zhu, Longyin Wen, Xiao Bian +2
cs.CVarXiv:1804.07437v22018
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon, Haggai Maron, Yaron Lipman
cs.CVarXiv:1803.10091v12018
How2: A Large-scale Dataset for Multimodal Language Understanding
Ramon Sanabria, Ozan Caglayan, Shruti Palaskar +4
cs.CLarXiv:1811.00347v22018
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu
cs.CVarXiv:1803.02642v12018
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith +3
cs.LGcs.AIarXiv:2010.10777v42020
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang, Weiyue Wang, Ulrich Neumann
cs.CVarXiv:1802.04402v22018
DensePose: Dense Human Pose Estimation In The Wild
Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos
cs.CVarXiv:1802.00434v12018
Harmonic Sums and Polylogarithms Generated by Cyclotomic Polynomials
Jakob Ablinger, Johannes Blümlein, Carsten Schneider
math-phcs.SChep-pharXiv:1105.6063v12011
SchNet - a deep learning architecture for molecules and materials
Kristof T. Schütt, Huziel E. Sauceda, Pieter-Jan Kindermans +2
physics.chem-phcond-mat.mtrl-sciarXiv:1712.06113v32017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen +5
cs.LGstat.MLarXiv:1712.05877v12017
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto +8
cs.AIcs.LGstat.MLarXiv:2301.10677v22023
FSSD: Feature Fusion Single Shot Multibox Detector
Zuoxin Li, Lu Yang, Fuqiang Zhou
cs.CVarXiv:1712.00960v42017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang +1
cs.CVarXiv:1711.08588v22017
On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo +9
cs.CYcs.LGphysics.chem-pharXiv:2204.01467v12022
Private quantum computation: An introduction to blind quantum computing and related protocols
Joseph F. Fitzsimons
quant-phcs.CRarXiv:1611.10107v12016
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols
Berk Calli, Aaron Walsman, Arjun Singh +3
cs.ROarXiv:1502.03143v12015
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu, Runseng Feng, Ruoyu Feng +4
cs.CVarXiv:2304.06790v12023
NIMA: Neural Image Assessment
Hossein Talebi, Peyman Milanfar
cs.CVarXiv:1709.05424v22017
Multimodal End-to-End Autonomous Driving
Yi Xiao, Felipe Codevilla, Akhil Gurram +2
cs.CVarXiv:1906.03199v22019
Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
Andrew J. Larkoski, Ian Moult, Benjamin Nachman
hep-phhep-exnucl-exarXiv:1709.04464v22017
High-Performance Neural Networks for Visual Object Classification
Dan C. Cireşan, Ueli Meier, Jonathan Masci +2
cs.AIcs.NEarXiv:1102.0183v12011
Deep Metric Learning with Angular Loss
Jian Wang, Feng Zhou, Shilei Wen +2
cs.CVarXiv:1708.01682v12017
Polynomial-Chaos-based Kriging
R. Schoebi, B. Sudret, J. Wiart
stat.COstat.MEstat.MLarXiv:1502.03939v12015
Artificial Intelligence Forecasting of Covid-19 in China
Zixin Hu, Qiyang Ge, Shudi Li +2
q-bio.OTarXiv:2002.07112v22020
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski +11
cs.CVarXiv:1706.04261v22017
The Kinetics Human Action Video Dataset
Will Kay, Joao Carreira, Karen Simonyan +9
cs.CVarXiv:1705.06950v12017
Soft-NMS -- Improving Object Detection With One Line of Code
Navaneeth Bodla, Bharat Singh, Rama Chellappa +1
cs.CVarXiv:1704.04503v22017
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim +4
cs.CVarXiv:1703.10580v22017
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu, Yujie Wang, Jifeng Dai +2
cs.CVarXiv:1703.10025v22017
HPIPM: a high-performance quadratic programming framework for model predictive control
Gianluca Frison, Moritz Diehl
math.OCeess.SYarXiv:2003.02547v22020
Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries using Sparse Linear Regression
Charles K. Fisher, Pankaj Mehta
q-bio.QMq-bio.PEarXiv:1402.0511v12014
Quality and Diversity Optimization: A Unifying Modular Framework
Antoine Cully, Yiannis Demiris
cs.NEcs.AIarXiv:1708.09251v12017
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
cs.CVcs.AIcs.LGarXiv:2405.07992v32024

Every paper with a summary

X3D: Expanding Architectures for Efficient Video Recognition

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

FSGAN: Subject Agnostic Face Swapping and Reenactment

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead

Model-Based Reinforcement Learning with Value-Targeted Regression

3D Packing for Self-Supervised Monocular Depth Estimation

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Progressive Image Deraining Networks: A Better and Simpler Baseline

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

High Quality Monocular Depth Estimation via Transfer Learning

Ensemble-based Multi-Filter Feature Selection Method for DDoS Detection in Cloud Computing

Cable Manipulation with a Tactile-Reactive Gripper

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Benchmark Analysis of Representative Deep Neural Network Architectures

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction

WHFast: A fast and unbiased implementation of a symplectic Wisdom-Holman integrator for long term gravitational simulations

DEIM: DETR with Improved Matching for Fast Convergence

Extending the computational reach of a noisy superconducting quantum processor

On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Vision Meets Drones: A Challenge

Point Convolutional Neural Networks by Extension Operators

How2: A Large-scale Dataset for Multimodal Language Understanding

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

AutoML to Date and Beyond: Challenges and Opportunities

Recurrent Slice Networks for 3D Segmentation of Point Clouds

DensePose: Dense Human Pose Estimation In The Wild

Harmonic Sums and Polylogarithms Generated by Cyclotomic Polynomials

SchNet - a deep learning architecture for molecules and materials

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Imitating Human Behaviour with Diffusion Models

FSSD: Feature Fusion Single Shot Multibox Detector

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

On scientific understanding with artificial intelligence

Private quantum computation: An introduction to blind quantum computing and related protocols

Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

Inpaint Anything: Segment Anything Meets Image Inpainting

NIMA: Neural Image Assessment

Multimodal End-to-End Autonomous Driving

Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

High-Performance Neural Networks for Visual Object Classification

Deep Metric Learning with Angular Loss

Polynomial-Chaos-based Kriging

Artificial Intelligence Forecasting of Covid-19 in China

The "something something" video database for learning and evaluating visual common sense

The Kinetics Human Action Video Dataset

Soft-NMS -- Improving Object Detection With One Line of Code

MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

Flow-Guided Feature Aggregation for Video Object Detection

HPIPM: a high-performance quadratic programming framework for model predictive control

Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries using Sparse Linear Regression

Quality and Diversity Optimization: A Unifying Modular Framework

MambaOut: Do We Really Need Mamba for Vision?