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Training Region-based Object Detectors with Online Hard Example Mining

Training Region-based Object Detectors with Online Hard Example Mining

12 April 2016
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
    ObjD
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Papers citing "Training Region-based Object Detectors with Online Hard Example Mining"

15 / 615 papers shown
Title
Multi-Path Region-Based Convolutional Neural Network for Accurate
  Detection of Unconstrained "Hard Faces"
Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"
Yuguang Liu
M. Levine
ObjD
CVBM
27
10
0
27 Mar 2017
Detecting Oriented Text in Natural Images by Linking Segments
Detecting Oriented Text in Natural Images by Linking Segments
Baoguang Shi
X. Bai
Serge J. Belongie
VLM
33
647
0
19 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
21
181
0
06 Mar 2017
Learning What Data to Learn
Learning What Data to Learn
Yang Fan
Fei Tian
Tao Qin
Jiang Bian
Tie-Yan Liu
15
79
0
28 Feb 2017
Deep Learning Logo Detection with Data Expansion by Synthesising Context
Deep Learning Logo Detection with Data Expansion by Synthesising Context
Hang Su
Xiatian Zhu
S. Gong
30
87
0
29 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
41
320
0
20 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
228
21,841
0
09 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
29
2,562
0
30 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
44
1,002
0
23 Nov 2016
Supervision via Competition: Robot Adversaries for Learning Tasks
Supervision via Competition: Robot Adversaries for Learning Tasks
Lerrel Pinto
James Davidson
Abhinav Gupta
SSL
24
82
0
05 Oct 2016
Bootstrapping Face Detection with Hard Negative Examples
Bootstrapping Face Detection with Hard Negative Examples
Shaohua Wan
Zhijun Chen
Zhang Tao
Bo Zhang
Kong-kat Wong
CVBM
ObjD
38
60
0
07 Aug 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
24
79
0
14 Jun 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
33
116
0
24 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
25
130
0
15 Apr 2016
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