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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
ArXiv (abs)PDFHTML

Papers citing "Training Region-based Object Detectors with Online Hard Example Mining"

50 / 822 papers shown
Title
Instance-Aware Representation Learning and Association for Online
  Multi-Person Tracking
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking
Hefeng Wu
Yafei Hu
Keze Wang
Hanhui Li
Lin Nie
Hui Cheng
VOT
48
31
0
29 May 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real
  Datasets
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen
Leshem Choshen
D. Weinshall
AI4TSOOD
120
57
0
26 May 2019
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing
Yang Lu
Xiaohui Liang
Frederick W. B. Li
34
0
0
24 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
166
2,406
0
13 May 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
91
665
0
09 May 2019
Deep Flow-Guided Video Inpainting
Deep Flow-Guided Video Inpainting
Rui Xu
Xiaoxiao Li
Bolei Zhou
Chen Change Loy
VGen
67
222
0
08 May 2019
Meta-learners' learning dynamics are unlike learners'
Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
OffRL
88
16
0
03 May 2019
RetinaFace: Single-stage Dense Face Localisation in the Wild
RetinaFace: Single-stage Dense Face Localisation in the Wild
Jiankang Deng
Jiaxin Guo
Yuxiang Zhou
Jinke Yu
I. Kotsia
Stefanos Zafeiriou
CVBM3DH
121
602
0
02 May 2019
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object
  Detection
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
Yali Li
Shengjin Wang
59
34
0
25 Apr 2019
Reinterpreting CTC training as iterative fitting
Reinterpreting CTC training as iterative fitting
Hongzhu Li
Weiqiang Wang
21
1
0
24 Apr 2019
Automated Focal Loss for Image based Object Detection
Automated Focal Loss for Image based Object Detection
Michael Weber
Michael Fürst
Johann Marius Zöllner
94
26
0
19 Apr 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the
  Efficiency of Deep Distance Metric Learning
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
Thanh-Toan Do
Toan M. Tran
Ian Reid
B. V. Kumar
Tuan Hoang
G. Carneiro
65
67
0
18 Apr 2019
Single Pixel Reconstruction for One-stage Instance Segmentation
Single Pixel Reconstruction for One-stage Instance Segmentation
Jun-chen Yu
Jinghan Yao
Jian Zhang
Zhou Yu
Dacheng Tao
SSegISeg
60
65
0
16 Apr 2019
Automatic adaptation of object detectors to new domains using
  self-training
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury
Prithvijit Chakrabarty
Ashish Singh
SouYoung Jin
Huaizu Jiang
Liangliang Cao
Erik Learned-Miller
VLMObjD
104
165
0
15 Apr 2019
DuBox: No-Prior Box Objection Detection via Residual Dual Scale
  Detectors
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors
Shuai Chen
Jinpeng Li
Chuanqi Yao
Wenbo Hou
Shuo Qin
Wenyao Jin
Xu Tang
ObjD
76
7
0
15 Apr 2019
Towards Accurate One-Stage Object Detection with AP-Loss
Towards Accurate One-Stage Object Detection with AP-Loss
Kean Chen
Jianguo Li
Weiyao Lin
John See
Ji Wang
Ling-yu Duan
Zhibo Chen
Changwei He
Junni Zou
ObjD
71
113
0
12 Apr 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Saurabh Singh
Abhinav Shrivastava
92
51
0
12 Apr 2019
Learning to Generate Synthetic Data via Compositing
Learning to Generate Synthetic Data via Compositing
Shashank Tripathi
Siddhartha Chandra
Amit Agrawal
A. Tyagi
James M. Rehg
Visesh Chari
105
120
0
10 Apr 2019
Prime Sample Attention in Object Detection
Prime Sample Attention in Object Detection
Yuhang Cao
Kai-xiang Chen
Chen Change Loy
Dahua Lin
ObjD
89
202
0
09 Apr 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings
  on Diverse CT Images: Learning from Radiology Reports and Label Ontology
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
Ke Yan
Yifan Peng
V. Sandfort
M. Bagheri
Zhiyong Lu
Ronald M. Summers
MedIm
73
68
0
09 Apr 2019
FoveaBox: Beyond Anchor-based Object Detector
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong
F. Sun
Huaping Liu
Yuning Jiang
Lei Li
Jianbo Shi
ObjD
102
209
0
08 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
109
452
0
07 Apr 2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
ObjD
104
1,296
0
04 Apr 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSegVLMISeg
154
1,690
0
04 Apr 2019
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan
Weihong Deng
Jian Tang
Yinan Tang
Binghui Chen
80
72
0
04 Apr 2019
Character Region Awareness for Text Detection
Character Region Awareness for Text Detection
Youngmin Baek
Bado Lee
Dongyoon Han
Sangdoo Yun
Hwalsuk Lee
73
785
0
03 Apr 2019
Point in, Box out: Beyond Counting Persons in Crowds
Point in, Box out: Beyond Counting Persons in Crowds
Yuting Liu
Miaojing Shi
Qijun Zhao
Xiaofang Wang
3DPC
82
192
0
02 Apr 2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Domen Tabernik
D. Skočaj
60
251
0
01 Apr 2019
Improving Object Detection with Inverted Attention
Improving Object Detection with Inverted Attention
Zeyi Huang
Wei Ke
Dong Huang
77
32
0
28 Mar 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat
  Examples Equally and Gradient Magnitude's Variance Matters
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters
Xinshao Wang
Yang Hua
Elyor Kodirov
David Clifton
N. Robertson
NoLa
145
63
0
28 Mar 2019
Pyramid Mask Text Detector
Pyramid Mask Text Detector
Jingchao Liu
Xuebo Liu
Jie Sheng
Ding Liang
Xin Li
Qingjie Liu
77
68
0
28 Mar 2019
ThunderNet: Towards Real-time Generic Object Detection
ThunderNet: Towards Real-time Generic Object Detection
Zheng Qin
Zeming Li
Zhaoning Zhang
Yiping Bao
Gang Yu
Yuxing Peng
Jian Sun
ObjD
65
256
0
28 Mar 2019
Automated pulmonary nodule detection using 3D deep convolutional neural
  networks
Automated pulmonary nodule detection using 3D deep convolutional neural networks
Hao Tang
Daniel R. Kim
Xiaohui Xie
MedIm
42
78
0
23 Mar 2019
Towards Robust Curve Text Detection with Conditional Spatial Expansion
Towards Robust Curve Text Detection with Conditional Spatial Expansion
Zichuan Liu
Guosheng Lin
Sheng Yang
Fayao Liu
Weisi Lin
W. Goh
67
82
0
21 Mar 2019
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection
Yang Zheng
I. Izzat
S. Ziaee
51
59
0
16 Mar 2019
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing
  Imagery
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
Gongjie Zhang
Shijian Lu
Wei Zhang
97
358
0
03 Mar 2019
PEA265: Perceptual Assessment of Video Compression Artifacts
PEA265: Perceptual Assessment of Video Compression Artifacts
Liqun Lin
Shiqi Yu
Tiesong Zhao
Zhou Wang
65
28
0
01 Mar 2019
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Yi Li
MedIm
48
21
0
25 Feb 2019
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in
  Unseen Adverse Weather
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Mario Bijelic
Tobias Gruber
Fahim Mannan
Florian Kraus
W. Ritter
Klaus C. J. Dietmayer
Felix Heide
71
41
0
24 Feb 2019
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Xiaojie Li
L. Yang
Q. Song
Fuqiang Zhou
CVBM3DH
92
16
0
19 Feb 2019
R$^2$-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing
  Images
R2^22-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images
Jiangmiao Pang
Cong Li
Jianping Shi
Zhi-hai Xu
H. Feng
ObjD
94
75
0
16 Feb 2019
Online Multi-Object Tracking with Dual Matching Attention Networks
Online Multi-Object Tracking with Dual Matching Attention Networks
Ji Zhu
Hua Yang
Nian Liu
Minyoung Kim
Wenjun Zhang
Ming-Hsuan Yang
VOT
107
347
0
02 Feb 2019
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain
  Specific Models
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models
Kentaro Yoshioka
Edward H. Lee
S. Wong
M. Horowitz
23
2
0
01 Feb 2019
Object Detection based on Region Decomposition and Assembly
Object Detection based on Region Decomposition and Assembly
Seung-Hwan Bae
ObjD
65
31
0
24 Jan 2019
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack
  Detection
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang
Lei Zhang
Sijia Yu
Danil Prokhorov
Xue Mei
Haibin Ling
98
725
0
18 Jan 2019
DAFE-FD: Density Aware Feature Enrichment for Face Detection
DAFE-FD: Density Aware Feature Enrichment for Face Detection
Vishwanath A. Sindagi
Vishal M. Patel
CVBM
78
16
0
16 Jan 2019
RetinaMask: Learning to predict masks improves state-of-the-art
  single-shot detection for free
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
Cheng-Yang Fu
Mykhailo Shvets
Alexander C. Berg
ObjD
101
141
0
10 Jan 2019
Thinking Outside the Pool: Active Training Image Creation for Relative
  Attributes
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
Aron Yu
Kristen Grauman
51
23
0
08 Jan 2019
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Shitao Tang
Xue Jiang
Wenqi Shao
Zhanghui Kuang
Wayne Zhang
Yimin Chen
80
20
0
02 Jan 2019
Support Vector Guided Softmax Loss for Face Recognition
Support Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang
Shuo Wang
Shifeng Zhang
Tianyu Fu
Hailin Shi
Tao Mei
CVBM
70
40
0
29 Dec 2018
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