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The Open Images Dataset V4: Unified image classification, object
  detection, and visual relationship detection at scale
v1v2 (latest)

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

2 November 2018
Alina Kuznetsova
H. Rom
N. Alldrin
J. Uijlings
Ivan Krasin
Jordi Pont-Tuset
Shahab Kamali
S. Popov
Matteo Malloci
Alexander Kolesnikov
Tom Duerig
V. Ferrari
    ObjDVLM
ArXiv (abs)PDFHTML

Papers citing "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale"

50 / 356 papers shown
Title
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning
  Models for the Detection of Tomatoes in a Greenhouse
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
S. Magalhães
Luís Castro
Germano Moreira
F. Santos
Mário Cunha
Jorge Dias
A. Moreira
57
124
0
02 Sep 2021
DVM-CAR: A large-scale automotive dataset for visual marketing research
  and applications
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
JingMin Huang
Bowei Chen
Lan Luo
Shigang Yue
I. Ounis
75
15
0
10 Aug 2021
Pre-trained Models for Sonar Images
Pre-trained Models for Sonar Images
Matias Valdenegro-Toro
Alan Preciado-Grijalva
Bilal Wehbe
VLM
36
13
0
02 Aug 2021
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
Yuren Cong
Wentong Liao
H. Ackermann
Bodo Rosenhahn
M. Yang
ViT
72
129
0
26 Jul 2021
Fed-ensemble: Improving Generalization through Model Ensembling in
  Federated Learning
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
Naichen Shi
Fan Lai
Raed Al Kontar
Mosharaf Chowdhury
FedML
85
36
0
21 Jul 2021
Multi-Label Generalized Zero Shot Learning for the Classification of
  Disease in Chest Radiographs
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat
Hazem Lashen
Farah E. Shamout
128
22
0
14 Jul 2021
Exploiting Image Translations via Ensemble Self-Supervised Learning for
  Unsupervised Domain Adaptation
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation
Fabrizio J. Piva
Gijs Dubbelman
62
14
0
13 Jul 2021
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy
  Communication in Noisy Environments
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
Jacob Donley
V. Tourbabin
Jung-Suk Lee
Mark Broyles
Hao Jiang
Jie Shen
Maja Pantic
V. Ithapu
Ravish Mehra
86
64
0
09 Jul 2021
PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior
  for Joint Image-Text Modeling
PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior for Joint Image-Text Modeling
Xiaoxue Zang
Lijuan Liu
Maria Wang
Yang Song
Hao Zhang
Jindong Chen
VLM
103
60
0
06 Jul 2021
MSE Loss with Outlying Label for Imbalanced Classification
MSE Loss with Outlying Label for Imbalanced Classification
S. Kato
Kazuhiro Hotta
23
11
0
06 Jul 2021
Web-Scale Generic Object Detection at Microsoft Bing
Web-Scale Generic Object Detection at Microsoft Bing
S. Chen
Saurajit Mukherjee
Unmesh Phadke
Tingting Wang
Junwon Park
Ravi Theja Yada
ObjDVLM
99
0
0
05 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang
Xiao Chu
Yudong Liu
Yongtao Wang
Zhi Tang
Wei Chu
Jingdong Chen
Haibin Ling
ObjD
125
168
0
01 Jul 2021
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and
  Generation
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
Jing Liu
Xinxin Zhu
Fei Liu
Longteng Guo
Zijia Zhao
...
Weining Wang
Hanqing Lu
Shiyu Zhou
Jiajun Zhang
Jinqiao Wang
87
38
0
01 Jul 2021
Making Images Real Again: A Comprehensive Survey on Deep Image
  Composition
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Li Niu
Wenyan Cong
Liu Liu
Yan Hong
Bo Zhang
Jing Liang
Liqing Zhang
VLMDiffMCoGe
134
77
0
28 Jun 2021
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Zihao Zhang
Shaozuo Yu
Siwei Yang
Yu Zhou
Bingchen Zhao
90
11
0
28 Jun 2021
Crowdsourcing Evaluation of Saliency-based XAI Methods
Crowdsourcing Evaluation of Saliency-based XAI Methods
Xiaotian Lu
A. Tolmachev
Tatsuya Yamamoto
Koh Takeuchi
Seiji Okajima
T. Takebayashi
Koji Maruhashi
H. Kashima
XAIFAtt
58
14
0
27 Jun 2021
A Picture May Be Worth a Hundred Words for Visual Question Answering
A Picture May Be Worth a Hundred Words for Visual Question Answering
Yusuke Hirota
Noa Garcia
Mayu Otani
Chenhui Chu
Yuta Nakashima
Ittetsu Taniguchi
Takao Onoye
ViT
35
4
0
25 Jun 2021
Extreme Multi-label Learning for Semantic Matching in Product Search
Extreme Multi-label Learning for Semantic Matching in Product Search
Wei-Cheng Chang
Daniel Jiang
Hsiang-Fu Yu
C. Teo
Jiong Zhang
...
Qie Hu
Nikhil Shandilya
Vyacheslav Ievgrafov
Japinder Singh
Inderjit S. Dhillon
90
60
0
23 Jun 2021
Tracking Instances as Queries
Tracking Instances as Queries
Shusheng Yang
Yuxin Fang
Xinggang Wang
Yu Li
Ying Shan
Bin Feng
Wenyu Liu
83
10
0
22 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your
  Needs
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Xingyuan Bu
Junran Peng
Junjie Yan
Tieniu Tan
Zhaoxiang Zhang
ObjDVLM
144
53
0
21 Jun 2021
MSN: Efficient Online Mask Selection Network for Video Instance
  Segmentation
MSN: Efficient Online Mask Selection Network for Video Instance Segmentation
Vidit Goel
Jiachen Li
Shubhika Garg
Harsh Maheshwari
Humphrey Shi
88
8
0
19 Jun 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
A. Kapishnikov
Subhashini Venugopalan
Besim Avci
Benjamin D. Wedin
Michael Terry
Tolga Bolukbasi
122
95
0
17 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
110
214
0
17 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
154
66
0
10 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
Provably Robust Detection of Out-of-distribution Data (almost) for free
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
70
22
0
08 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Hengduo Li
Zuxuan Wu
Abhinav Shrivastava
Larry S. Davis
99
81
0
01 Jun 2021
Linguistic Structures as Weak Supervision for Visual Scene Graph
  Generation
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
Keren Ye
Adriana Kovashka
64
54
0
28 May 2021
Maria: A Visual Experience Powered Conversational Agent
Maria: A Visual Experience Powered Conversational Agent
Zujie Liang
Huang Hu
Can Xu
Chongyang Tao
Xiubo Geng
Yining Chen
Fan Liang
Daxin Jiang
91
32
0
27 May 2021
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can
  Help
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help
Danula Hettiachchi
M. Schaekermann
Tristan McKinney
Matthew Lease
81
20
0
20 May 2021
Waste detection in Pomerania: non-profit project for detecting waste in
  environment
Waste detection in Pomerania: non-profit project for detecting waste in environment
Sylwia Majchrowska
Agnieszka Mikołajczyk
M. Ferlin
Zuzanna Klawikowska
Marta A. Plantykow
Arkadiusz Kwasigroch
K. Majek
116
138
0
12 May 2021
Event Camera Simulator Design for Modeling Attention-based Inference
  Architectures
Event Camera Simulator Design for Modeling Attention-based Inference Architectures
Md Jubaer Hossain Pantho
Joel Mandebi Mbongue
Pankaj Bhowmik
C. Bobda
62
10
0
03 May 2021
Joint Representation Learning and Novel Category Discovery on Single-
  and Multi-modal Data
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
200
59
0
26 Apr 2021
A Survey of Modern Deep Learning based Object Detection Models
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi
M. S. Ansari
Asra Aslam
N. Kanwal
M. Asghar
Brian Lee
VLMObjD
159
761
0
24 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSegVLMCLIP
383
719
0
22 Apr 2021
Rethinking Text Line Recognition Models
Rethinking Text Line Recognition Models
Daniel Hernandez Diaz
Siyang Qin
R. Ingle
Yasuhisa Fujii
Alessandro Bissacco
VLM
86
52
0
15 Apr 2021
Prototypical Region Proposal Networks for Few-Shot Localization and
  Classification
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Elliott Skomski
Aaron Tuor
Andrew Avila
Lauren A. Phillips
Zach New
Henry Kvinge
Court D. Corley
Nathan Oken Hodas
40
0
0
08 Apr 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
117
84
0
24 Mar 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
72
65
0
19 Mar 2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented
  Visual Question Answering
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Aman Jain
Mayank Kothyari
Vishwajeet Kumar
Preethi Jyothi
Ganesh Ramakrishnan
Soumen Chakrabarti
68
36
0
09 Mar 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
Searching for Robustness: Loss Learning for Noisy Classification Tasks
Boyan Gao
Henry Gouk
Timothy M. Hospedales
OODNoLa
84
18
0
27 Feb 2021
SCD: A Stacked Carton Dataset for Detection and Segmentation
SCD: A Stacked Carton Dataset for Detection and Segmentation
Jinrong Yang
Shengkai Wu
L. Gou
Hangchen Yu
Chenxi Lin
Jiazhuo Wang
Minxuan Li
Xiaoping Li
61
13
0
25 Feb 2021
Efficient Online ML API Selection for Multi-Label Classification Tasks
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen
Matei A. Zaharia
James Zou
118
19
0
18 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjDVLM
146
42
0
17 Feb 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
76
30
0
16 Feb 2021
Reviving Iterative Training with Mask Guidance for Interactive
  Segmentation
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
Konstantin Sofiiuk
Ilya A. Petrov
Anton Konushin
143
218
0
12 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
219
1,775
0
05 Feb 2021
ECOL-R: Encouraging Copying in Novel Object Captioning with
  Reinforcement Learning
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
Yufei Wang
Ian D. Wood
Stephen Wan
Mark Johnson
45
8
0
25 Jan 2021
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from
  Black-box Models?
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
Jacson Rodrigues Correia-Silva
Rodrigo Berriel
C. Badue
Alberto F. de Souza
Thiago Oliveira-Santos
MLAU
71
15
0
21 Jan 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep
  Object Detectors
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh
Steven L. Waslander
UQCV
130
41
0
13 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
BDL
141
147
0
21 Dec 2020
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