Computer Vision and Pattern Recognition

Papers filed under cs.CV on arXiv, each one already summarized by Paperlayer. 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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24,361 to 24,420 of 27,330

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Davy Neven, Bert De Brabandere, Marc Proesmans +1
cs.CVarXiv:1906.11109v22019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
cs.CVcs.AIcs.LGarXiv:1904.11740v12019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta +7
cs.CVcs.LGarXiv:1905.12886v22019
Single Image Deraining: A Comprehensive Benchmark Analysis
Siyuan Li, Iago Breno Araujo, Wenqi Ren +7
cs.CVarXiv:1903.08558v12019
Fast Human Pose Estimation
Feng Zhang, Xiatian Zhu, Mao Ye
cs.CVarXiv:1811.05419v22018
CornerNet-Lite: Efficient Keypoint Based Object Detection
Hei Law, Yun Teng, Olga Russakovsky +1
cs.CVarXiv:1904.08900v22019
One-Class Convolutional Neural Network
Poojan Oza, Vishal M. Patel
cs.CVarXiv:1901.08688v12019
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing +1
cs.CVarXiv:1905.13549v22019
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Qi Wang, Zhenghang Yuan, Qian Du +1
cs.CVeess.IVarXiv:1905.01662v12019
Fast Underwater Image Enhancement for Improved Visual Perception
Md Jahidul Islam, Youya Xia, Junaed Sattar
cs.CVarXiv:1903.09766v32019
3D human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier +1
cs.CVarXiv:1811.11742v22018
Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro +1
cs.CVarXiv:1905.00953v62019
Object Detection in 20 Years: A Survey
Zhengxia Zou, Keyan Chen, Zhenwei Shi +2
cs.CVarXiv:1905.05055v32019
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng, Yifan Feng, Haoxuan You +2
cs.CVarXiv:1811.11424v12018
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans, B. Garcia-Garcia
cs.CVarXiv:1901.03577v12019
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin +1
cs.CVcs.ROarXiv:1905.00538v12019
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
Girish Varma, Anbumani Subramanian, Anoop Namboodiri +2
cs.CVcs.ROarXiv:1811.10200v12018
Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang +2
cs.CVarXiv:1810.09676v12018
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
Tianyi Wu, Sheng Tang, Rui Zhang +1
cs.CVarXiv:1811.08201v22018
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
cs.CVcs.LGstat.MLarXiv:1905.05393v12019
All-In-One Underwater Image Enhancement using Domain-Adversarial Learning
Pritish Uplavikar, Zhenyu Wu, Zhangyang Wang
cs.CVarXiv:1905.13342v12019
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Tianyu Wang, Xin Yang, Ke Xu +3
cs.CVarXiv:1904.01538v22019
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Bo Li, Wei Wu, Qiang Wang +3
cs.CVarXiv:1812.11703v12018
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Domen Tabernik, Danijel Skočaj
cs.CVarXiv:1904.00649v12019
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu, Amir Shahroudy, Mauricio Perez +3
cs.CVarXiv:1905.04757v22019
Learning from Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin +1
cs.CVarXiv:1903.03303v12019
REPAIR: Removing Representation Bias by Dataset Resampling
Yi Li, Nuno Vasconcelos
cs.CVarXiv:1904.07911v12019
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu +6
cs.CVcs.AIcs.GRarXiv:1904.11621v12019
Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu +9
cs.CVarXiv:1905.02244v52019
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, Toon Goedemé
cs.CVarXiv:1904.08653v12019
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang +3
cs.CVcs.AIarXiv:2512.05343v22025
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Yang Zhao, Borui Jiang +7
cs.CVarXiv:1904.04514v12019
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao, Guha Balakrishnan, Frédo Durand +2
cs.CVarXiv:1902.09383v22019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez, Geert Litjens, Peter Bandi +4
cs.CVarXiv:1902.06543v22019
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang +1
cs.CVcs.LGarXiv:1904.03582v12019
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada +1
cs.CVarXiv:1812.04798v32018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan +4
cs.CVcs.AIarXiv:1809.03327v12018
Summaries:한국어
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
cs.CVcs.CRcs.LGarXiv:1904.00759v42019
GFF: Gated Fully Fusion for Semantic Segmentation
Xiangtai Li, Houlong Zhao, Lei Han +2
cs.CVarXiv:1904.01803v22019
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, Krishna Nakka, Pascal Fua +1
cs.CVarXiv:1904.07595v22019
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang, Kai Chen, Jianping Shi +3
cs.CVarXiv:1904.02701v12019
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
Xinzhu Ma, Zhihui Wang, Haojie Li +3
cs.CVarXiv:1903.11444v42019
LRS3-TED: a large-scale dataset for visual speech recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
cs.CVarXiv:1809.00496v22018
Mask Scoring R-CNN
Zhaojin Huang, Lichao Huang, Yongchao Gong +2
cs.CVarXiv:1903.00241v12019
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang, Jiawei Wu, Junkun Chen +3
cs.CVcs.CLcs.LGarXiv:1904.03493v32019
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo, Siyuan Li, Jinke Yu +5
cs.CVarXiv:1902.10859v22019
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
Minfeng Zhu, Pingbo Pan, Wei Chen +1
cs.CVarXiv:1904.01310v12019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li, Lei Wang, Jinglin Xu +3
cs.CVarXiv:1903.12290v22019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi, Dayoung Chun, Hyun Kim +1
cs.CVarXiv:1904.04620v22019
Summaries:한국어
Target-Aware Deep Tracking
Xin Li, Chao Ma, Baoyuan Wu +2
cs.CVarXiv:1904.01772v12019
Real-time Distracted Driver Posture Classification
Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa
cs.CVarXiv:1706.09498v32017
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Yuying Ge, Ruimao Zhang, Lingyun Wu +3
cs.CVarXiv:1901.07973v12019
Rethinking ImageNet Pre-training
Kaiming He, Ross Girshick, Piotr Dollár
cs.CVarXiv:1811.08883v12018
TSM: Temporal Shift Module for Efficient Video Understanding
Ji Lin, Chuang Gan, Song Han
cs.CVarXiv:1811.08383v32018
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
cs.CVarXiv:1905.03244v12019
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi +1
cs.CVarXiv:1706.07680v22017
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
Yang Fu, Xiaoyang Wang, Yunchao Wei +1
cs.CVarXiv:1811.04129v12018
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang, Feng Gao, Baoxiong Jia +2
cs.CVcs.AIcs.LGarXiv:1903.02741v12019
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff +1
cs.CVarXiv:1706.05587v32017
TableBank: A Benchmark Dataset for Table Detection and Recognition
Minghao Li, Lei Cui, Shaohan Huang +3
cs.CVarXiv:1903.01949v22019

Computer Vision and Pattern Recognition

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

Single Image Deraining: A Comprehensive Benchmark Analysis

Fast Human Pose Estimation

CornerNet-Lite: Efficient Keypoint Based Object Detection

One-Class Convolutional Neural Network

Learning Robust Global Representations by Penalizing Local Predictive Power

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

Fast Underwater Image Enhancement for Improved Visual Perception

3D human pose estimation in video with temporal convolutions and semi-supervised training

Omni-Scale Feature Learning for Person Re-Identification

Object Detection in 20 Years: A Survey

MeshNet: Mesh Neural Network for 3D Shape Representation

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

DPSNet: End-to-end Deep Plane Sweep Stereo

IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Action-Agnostic Human Pose Forecasting

CGNet: A Light-weight Context Guided Network for Semantic Segmentation

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Learning from Synthetic Data for Crowd Counting in the Wild

REPAIR: Removing Representation Bias by Dataset Resampling

Meta-Sim: Learning to Generate Synthetic Datasets

Searching for MobileNetV3

Fooling automated surveillance cameras: adversarial patches to attack person detection

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

High-Resolution Representations for Labeling Pixels and Regions

Data augmentation using learned transformations for one-shot medical image segmentation

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Multi-Label Image Recognition with Graph Convolutional Networks

Strong-Weak Distribution Alignment for Adaptive Object Detection

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Adversarial camera stickers: A physical camera-based attack on deep learning systems

GFF: Gated Fully Fusion for Semantic Segmentation

Detecting the Unexpected via Image Resynthesis

Libra R-CNN: Towards Balanced Learning for Object Detection

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

LRS3-TED: a large-scale dataset for visual speech recognition

Mask Scoring R-CNN

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

PFLD: A Practical Facial Landmark Detector

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving

Target-Aware Deep Tracking

Real-time Distracted Driver Posture Classification

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Rethinking ImageNet Pre-training

TSM: Temporal Shift Module for Efficient Video Understanding

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds

STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Rethinking Atrous Convolution for Semantic Image Segmentation

TableBank: A Benchmark Dataset for Table Detection and Recognition