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Multiple Instance Curriculum Learning for Weakly Supervised Object
  Detection

Multiple Instance Curriculum Learning for Weakly Supervised Object Detection

25 November 2017
Siyang Li
Xiangxin Zhu
Qin Huang
Hao Xu
C.-C. Jay Kuo
    WSOD
ArXivPDFHTML

Papers citing "Multiple Instance Curriculum Learning for Weakly Supervised Object Detection"

7 / 7 papers shown
Title
Learning 3D Perception from Others' Predictions
Learning 3D Perception from Others' Predictions
Jinsu Yoo
Zhenyang Feng
Tai-Yu Pan
Yihong Sun
Cheng Perng Phoo
Xiangyu Chen
Mark Campbell
Kilian Q. Weinberger
Bharath Hariharan
Wei-Lun Chao
90
1
0
03 Oct 2024
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
53
141
0
23 May 2017
Weakly Supervised Cascaded Convolutional Networks
Weakly Supervised Cascaded Convolutional Networks
Ali Diba
Vivek Sharma
A. Pazandeh
Hamed Pirsiavash
Luc Van Gool
WSOD
48
298
0
24 Nov 2016
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised
  Localization
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov
Maxime Oquab
Minsu Cho
Ivan Laptev
WSOL
55
306
0
14 Sep 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
221
9,298
0
14 Dec 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
93
986
0
06 Jun 2015
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
266
7,279
0
20 Dec 2013
1