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Towards the Success Rate of One: Real-time Unconstrained Salient Object
  Detection

Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection

31 July 2017
Mahyar Najibi
Fan Yang
Qiaosong Wang
Robinson Piramuthu
    ObjD
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Papers citing "Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection"

4 / 4 papers shown
Title
FathomNet: An underwater image training database for ocean exploration
  and discovery
FathomNet: An underwater image training database for ocean exploration and discovery
O. Boulais
Benjamin Woodward
B. Schlining
L. Lundsten
K. Barnard
K. L. Bell
K. Katija
19
14
0
30 Jun 2020
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Yi Li
MedIm
19
19
0
25 Feb 2019
Salient Object Detection in Video using Deep Non-Local Neural Networks
Salient Object Detection in Video using Deep Non-Local Neural Networks
Mohammad Shokri
Ahad Harati
Kimya Taba
16
32
0
16 Oct 2018
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Mahmoud Kalash
Md. Amirul Islam
Neil D. B. Bruce
38
13
0
03 Oct 2018
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