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Embracing Error to Enable Rapid Crowdsourcing

Embracing Error to Enable Rapid Crowdsourcing

14 February 2016
Ranjay Krishna
Kenji Hata
Stephanie Chen
Joshua Kravitz
David A. Shamma
Li Fei-Fei
Michael S. Bernstein
    LRM
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Papers citing "Embracing Error to Enable Rapid Crowdsourcing"

15 / 15 papers shown
Title
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
97
0
04 Nov 2022
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing
  Data
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
Yangfan Zhan
Zhitong Xiong
Yuan. Yuan
78
107
0
23 Oct 2022
TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling
  of Machine Learning Datasets
TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling of Machine Learning Datasets
Chandramohan Sudar
Michael Fröhlich
Florian Alt
HAI
19
1
0
29 Sep 2022
Visual Intelligence through Human Interaction
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
29
8
0
12 Nov 2021
Full Characterization of Adaptively Strong Majority Voting in
  Crowdsourcing
Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing
M. Boyarskaya
Panagiotis G. Ipeirotis
18
0
0
11 Nov 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Vaibhav Pulastya
Gaurav Nuti
Yash Kumar Atri
Tanmoy Chakraborty
NoLa
35
5
0
10 Sep 2021
Dissonance Between Human and Machine Understanding
Dissonance Between Human and Machine Understanding
Zijian Zhang
Jaspreet Singh
U. Gadiraju
Avishek Anand
53
74
0
18 Jan 2021
EventAnchor: Reducing Human Interactions in Event Annotation of Racket
  Sports Videos
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
Dazhen Deng
Jiang Wu
Jiachen Wang
Yihong Wu
Xiao Xie
Zheng Zhou
Hui Zhang
X. Zhang
Yingcai Wu
37
37
0
13 Jan 2021
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
44
429
0
22 Sep 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
30
433
0
11 Jun 2020
Efficient Object Annotation via Speaking and Pointing
Efficient Object Annotation via Speaking and Pointing
Michael Gygli
V. Ferrari
ObjD
VLM
18
17
0
25 May 2019
Quality Control in Crowdsourcing: A Survey of Quality Attributes,
  Assessment Techniques and Assurance Actions
Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions
F. Daniel
Pavel Kucherbaev
C. Cappiello
B. Benatallah
Mohammad Allahbakhsh
17
162
0
08 Jan 2018
Dense-Captioning Events in Videos
Dense-Captioning Events in Videos
Ranjay Krishna
Kenji Hata
F. Ren
Li Fei-Fei
Juan Carlos Niebles
65
1,218
0
02 May 2017
A Glimpse Far into the Future: Understanding Long-term Crowd Worker
  Quality
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality
Kenji Hata
Ranjay Krishna
Fei-Fei Li
Michael S. Bernstein
53
42
0
15 Sep 2016
Much Ado About Time: Exhaustive Annotation of Temporal Data
Much Ado About Time: Exhaustive Annotation of Temporal Data
Gunnar A. Sigurdsson
Olga Russakovsky
Ali Farhadi
Ivan Laptev
Abhinav Gupta
28
28
0
25 Jul 2016
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