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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

23 May 2017
Radu Tudor Ionescu
B. Alexe
Marius Leordeanu
Marius Popescu
Dim P. Papadopoulos
V. Ferrari
ArXivPDFHTML

Papers citing "How hard can it be? Estimating the difficulty of visual search in an image"

13 / 63 papers shown
Title
Towards Human-Machine Cooperation: Self-supervised Sample Mining for
  Object Detection
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
Keze Wang
Xiaopeng Yan
Dongyu Zhang
Lei Zhang
Liang Lin
ObjD
24
101
0
27 Mar 2018
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
37
44
0
26 Mar 2018
Optimizing the Trade-off between Single-Stage and Two-Stage Object
  Detectors using Image Difficulty Prediction
Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction
Petru Soviany
Radu Tudor Ionescu
ObjD
19
180
0
23 Mar 2018
UnibucKernel: A kernel-based learning method for complex word
  identification
UnibucKernel: A kernel-based learning method for complex word identification
Andrei M. Butnaru
Radu Tudor Ionescu
11
12
0
20 Mar 2018
Detecting abnormal events in video using Narrowed Normality Clusters
Detecting abnormal events in video using Narrowed Normality Clusters
Radu Tudor Ionescu
Sorina Smeureanu
Marius Popescu
B. Alexe
35
95
0
12 Jan 2018
Multiple Instance Curriculum Learning for Weakly Supervised Object
  Detection
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
Siyang Li
Xiangxin Zhu
Qin Huang
Hao Xu
C.-C. Jay Kuo
WSOD
44
35
0
25 Nov 2017
Exploiting Web Images for Weakly Supervised Object Detection
Exploiting Web Images for Weakly Supervised Object Detection
Qingyi Tao
Hao Yang
Jianfei Cai
31
21
0
27 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Unmasking the abnormal events in video
Unmasking the abnormal events in video
Radu Tudor Ionescu
Sorina Smeureanu
B. Alexe
Marius Popescu
21
274
0
23 May 2017
Simple to Complex Cross-modal Learning to Rank
Simple to Complex Cross-modal Learning to Rank
Minnan Luo
Xiaojun Chang
Yi Yang
Liqiang Nie
Alexander G. Hauptmann
Q. Zheng
25
77
0
04 Feb 2017
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence
  Models
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K. Vijayakumar
Michael Cogswell
Ramprasaath R. Selvaraju
Q. Sun
Stefan Lee
David J. Crandall
Dhruv Batra
28
543
0
07 Oct 2016
Weakly Supervised Object Localization Using Size Estimates
Weakly Supervised Object Localization Using Size Estimates
Miaojing Shi
V. Ferrari
WSOL
22
80
0
15 Aug 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
189
2,946
0
15 Dec 2014
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