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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
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Ligong Han
Ruijiang Gao
Mun Kim
Xin Tao
Bo Liu
Dimitris N. Metaxas
52
14
0
21 Nov 2019
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive
  Batch Selection
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection
Hwanjun Song
Minseok Kim
Sundong Kim
Jae-Gil Lee
58
16
0
19 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better
  Supervision
Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
114
70
0
18 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Junjun Liang
Leilei Gan
Jiwei Li
119
592
0
07 Nov 2019
An Alternative Probabilistic Interpretation of the Huber Loss
An Alternative Probabilistic Interpretation of the Huber Loss
Gregory P. Meyer
115
109
0
05 Nov 2019
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time
  Dense Object Detection
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection
Florian Chabot
Q. C. Pham
Mohamed Chaouch
ObjD
79
8
0
04 Nov 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics
  and Applications
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications
Nicholas Carlini
Ulfar Erlingsson
Nicolas Papernot
OODOODD
71
60
0
29 Oct 2019
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric Xing
80
120
0
28 Oct 2019
Mining GOLD Samples for Conditional GANs
Mining GOLD Samples for Conditional GANs
Sangwoo Mo
Chiheon Kim
Sungwoong Kim
Minsu Cho
Jinwoo Shin
GANAI4CE
78
20
0
21 Oct 2019
Correlation Maximized Structural Similarity Loss for Semantic
  Segmentation
Correlation Maximized Structural Similarity Loss for Semantic Segmentation
Shuai Zhao
Boxi Wu
Wenqing Chu
Yao Hu
Deng Cai
50
25
0
19 Oct 2019
Convolutional Character Networks
Convolutional Character Networks
Linjie Xing
Zhi Tian
Weilin Huang
Matthew R. Scott
137
159
0
17 Oct 2019
Deep Semantic Parsing of Freehand Sketches with Homogeneous
  Transformation, Soft-Weighted Loss, and Staged Learning
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
Ying Zheng
Huanjin Yao
Xiaoshuai Sun
85
6
0
14 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
104
104
0
07 Oct 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural
  Network for Object Detection
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
A. Wong
M. Famouri
M. Shafiee
Muqun Li
Brendan Chwyl
Khaldoun Zine El Abidine
ObjD
54
109
0
03 Oct 2019
Accelerating Deep Learning by Focusing on the Biggest Losers
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang
Daniel L.-K. Wong
Giulio Zhou
D. Andersen
J. Dean
...
Gauri Joshi
M. Kaminsky
M. Kozuch
Zachary Chase Lipton
Padmanabhan Pillai
93
123
0
02 Oct 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Serim Ryou
Seong-Gyun Jeong
Pietro Perona
73
44
0
24 Sep 2019
Improving Collaborative Metric Learning with Efficient Negative Sampling
Improving Collaborative Metric Learning with Efficient Negative Sampling
Viet-Anh Tran
Romain Hennequin
Jimena Royo-Letelier
Manuel Moussallam
55
25
0
24 Sep 2019
Development of Fast Refinement Detectors on AI Edge Platforms
Development of Fast Refinement Detectors on AI Edge Platforms
Min-Kook Choi
Heechul Jung
ObjD
37
2
0
24 Sep 2019
Learning Dense Representations for Entity Retrieval
Learning Dense Representations for Entity Retrieval
D. Gillick
Sayali Kulkarni
L. Lansing
Alessandro Presta
Jason Baldridge
Eugene Ie
Diego Garcia-Olano
RALM
117
208
0
23 Sep 2019
Generating Positive Bounding Boxes for Balanced Training of Object
  Detectors
Generating Positive Bounding Boxes for Balanced Training of Object Detectors
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
ObjD
76
24
0
21 Sep 2019
Dual Graph Convolutional Network for Semantic Segmentation
Dual Graph Convolutional Network for Semantic Segmentation
Li Zhang
Xiangtai Li
Anurag Arnab
Kuiyuan Yang
Yunhai Tong
Philip Torr
GNN
83
174
0
13 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
139
470
0
31 Aug 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New
  Benchmark
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
88
1,478
0
31 Aug 2019
Residual Objectness for Imbalance Reduction
Residual Objectness for Imbalance Reduction
Joya Chen
Dong Liu
Bin Luo
X. Peng
Tong Xu
Enhong Chen
ObjD
83
7
0
24 Aug 2019
Dynamic Graph Message Passing Networks
Dynamic Graph Message Passing Networks
Li Zhang
Dan Xu
Anurag Arnab
Philip Torr
GNN
102
138
0
19 Aug 2019
C-RPNs: Promoting Object Detection in real world via a Cascade Structure
  of Region Proposal Networks
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
Dongming Yang
YueXian Zou
Jian Zhang
Ge Li
ObjD
45
9
0
19 Aug 2019
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel
  Aggregation Network
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Wenhai Wang
Enze Xie
Xiaoge Song
Yuhang Zang
Wenjia Wang
Tong Lu
Gang Yu
Chunhua Shen
82
420
0
16 Aug 2019
IoU-balanced Loss Functions for Single-stage Object Detection
IoU-balanced Loss Functions for Single-stage Object Detection
Shengkai Wu
Jinrong Yang
Xinggang Wang
Xiaoping Li
ObjD
82
102
0
15 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
131
824
0
10 Aug 2019
Fast Point R-CNN
Fast Point R-CNN
Yilun Chen
Shu Liu
Xiaoyong Shen
Jiaya Jia
3DPC
91
385
0
08 Aug 2019
Learning to Train with Synthetic Humans
Learning to Train with Synthetic Humans
David T. Hoffmann
Dimitrios Tzionas
M. Black
Siyu Tang
75
33
0
02 Aug 2019
Towards Automated Infographic Design: Deep Learning-based
  Auto-Extraction of Extensible Timeline
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline
Zhutian Chen
Yun Wang
Qianwen Wang
Yong Wang
Huamin Qu
81
78
0
31 Jul 2019
Propose-and-Attend Single Shot Detector
Propose-and-Attend Single Shot Detector
Hoyong Jang
Sanghyun Woo
Philipp Benz
Jinsun Park
In So Kweon
ObjD
74
16
0
30 Jul 2019
Reprojection R-CNN: A Fast and Accurate Object Detector for 360°
  Images
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images
Pengyu Zhao
Ansheng You
Yuanxing Zhang
Jiaying Liu
Kaigui Bian
Yunhai Tong
ObjD
55
3
0
27 Jul 2019
Hard-Aware Fashion Attribute Classification
Hard-Aware Fashion Attribute Classification
Yun Ye
Yixin Li
Bo Wu
Wei Zhang
Lingyu Duan
Tao Mei
AI4TS
39
6
0
25 Jul 2019
DR Loss: Improving Object Detection by Distributional Ranking
DR Loss: Improving Object Detection by Distributional Ranking
Qi Qian
Lei Chen
Hao Li
Rong Jin
46
70
0
23 Jul 2019
Deep inspection: an electrical distribution pole parts study via deep
  neural networks
Deep inspection: an electrical distribution pole parts study via deep neural networks
Liangchen Liu
Teng Zhang
Kun-li Zhao
Arnold Wiliem
Kieren Astin-Walmsley
Brian C. Lovell
18
7
0
16 Jul 2019
A Survey of Deep Learning-based Object Detection
A Survey of Deep Learning-based Object Detection
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
Lingling Li
Zhixi Feng
Rong Qu
ObjD
131
973
0
11 Jul 2019
Object Detection in Video with Spatial-temporal Context Aggregation
Object Detection in Video with Spatial-temporal Context Aggregation
Hao Luo
Lichao Huang
Han Shen
Yuan Li
Chang Huang
Xinggang Wang
44
14
0
11 Jul 2019
Inverse Attention Guided Deep Crowd Counting Network
Inverse Attention Guided Deep Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
84
30
0
02 Jul 2019
High-speed Railway Fastener Detection and Localization Method based on
  convolutional neural network
High-speed Railway Fastener Detection and Localization Method based on convolutional neural network
Q. Song
Yao Guo
Jianan Jiang
Chongxing Liu
Mengjie Hu
41
1
0
02 Jul 2019
Hard Pixel Mining for Depth Privileged Semantic Segmentation
Hard Pixel Mining for Depth Privileged Semantic Segmentation
Zhangxuan Gu
Li Niu
H. Zhao
Liqing Zhang
78
33
0
27 Jun 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai
Nuno Vasconcelos
ObjD
89
1,371
0
24 Jun 2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Meng Li
Lin Wu
Arnold Wiliem
Kun-li Zhao
Teng Zhang
Brian C. Lovell
53
32
0
24 Jun 2019
vireoJD-MM at Activity Detection in Extended Videos
vireoJD-MM at Activity Detection in Extended Videos
Fuchen Long
Qi Cai
Zhaofan Qiu
Zhijian Hou
Yingwei Pan
Ting Yao
Chong-Wah Ngo
30
4
0
20 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
228
2,891
0
17 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization
Four Things Everyone Should Know to Improve Batch Normalization
Cecilia Summers
M. Dinneen
85
52
0
09 Jun 2019
Farm land weed detection with region-based deep convolutional neural
  networks
Farm land weed detection with region-based deep convolutional neural networks
Mohammad Ibrahim Sarker
Hyongsuk Kim
28
8
0
05 Jun 2019
Two-Stream Region Convolutional 3D Network for Temporal Activity
  Detection
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
Huijuan Xu
Abir Das
Kate Saenko
3DPC
121
47
0
05 Jun 2019
Efficient Object Detection Model for Real-Time UAV Applications
Efficient Object Detection Model for Real-Time UAV Applications
Subrahmanyam Vaddi
Chandan Kumar
Ali Jannesari
83
37
0
30 May 2019
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