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Was that so hard? Estimating human classification difficulty

Was that so hard? Estimating human classification difficulty

22 March 2022
Morten Rieger Hannemose
Josefine Vilsbøll Sundgaard
N. K. Ternov
Rasmus Paulsen
Anders Christensen
ArXiv (abs)PDFHTML

Papers citing "Was that so hard? Estimating human classification difficulty"

15 / 15 papers shown
Title
A survey of active learning algorithms for supervised remote sensing
  image classification
A survey of active learning algorithms for supervised remote sensing image classification
D. Tuia
Michele Volpi
Loris Copa
M. Kanevski
Jordi Munoz-Marí
53
525
0
15 Apr 2021
Statistical Measures For Defining Curriculum Scoring Function
Statistical Measures For Defining Curriculum Scoring Function
Vinu Sankar Sadasivan
A. Dasgupta
54
2
0
27 Feb 2021
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
112
1,149
0
30 Aug 2020
PyTorch Metric Learning
PyTorch Metric Learning
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
44
106
0
20 Aug 2020
BCN20000: Dermoscopic Lesions in the Wild
BCN20000: Dermoscopic Lesions in the Wild
Marc Combalia
Noel Codella
V. Rotemberg
Brian Helba
Verónica Vilaplana
...
Cristina Carrera
Alicia Barreiro
Allan Halpern
S. Puig
J. Malvehy
66
446
0
06 Aug 2019
Divide and Conquer the Embedding Space for Metric Learning
Divide and Conquer the Embedding Space for Metric Learning
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
SSL
83
107
0
14 Jun 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric
  Learning
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang
Xintong Han
Weilin Huang
Dengke Dong
Matthew R. Scott
88
755
0
14 Apr 2019
On The Power of Curriculum Learning in Training Deep Networks
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen
D. Weinshall
ODL
80
449
0
07 Apr 2019
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
Florian Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
Cristiano Malossi
VLM
67
46
0
26 Mar 2018
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017
  International Symposium on Biomedical Imaging (ISBI), Hosted by the
  International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
D. Gutman
M. E. Celebi
Brian Helba
Michael Marchetti
...
Aadi Kalloo
Konstantinos Liopyris
N. Mishra
Harald Kittler
Allan Halpern
97
2,082
0
13 Oct 2017
How hard can it be? Estimating the difficulty of visual search in an
  image
How hard can it be? Estimating the difficulty of visual search in an image
Radu Tudor Ionescu
B. Alexe
Marius Leordeanu
Marius Popescu
Dim P. Papadopoulos
V. Ferrari
73
142
0
23 May 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
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