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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 / 936 papers shown
Learning to Train with Synthetic Humans
Learning to Train with Synthetic HumansGerman Conference on Pattern Recognition (DAGM), 2019
David T. Hoffmann
Dimitrios Tzionas
M. Black
Siyu Tang
175
34
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 TimelineIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Zhutian Chen
Yun Wang
Qianwen Wang
Yong Wang
Huamin Qu
235
87
0
31 Jul 2019
Propose-and-Attend Single Shot Detector
Propose-and-Attend Single Shot DetectorIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Hoyong Jang
Sanghyun Woo
Philipp Benz
Jinsun Park
In So Kweon
ObjD
154
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
161
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
146
6
0
25 Jul 2019
DR Loss: Improving Object Detection by Distributional Ranking
DR Loss: Improving Object Detection by Distributional RankingComputer Vision and Pattern Recognition (CVPR), 2019
Qi Qian
Lei Chen
Hao Li
Rong Jin
165
73
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 networksInternational Conference on Information Photonics (ICIP), 2019
Liangchen Liu
Teng Zhang
Kun-li Zhao
Arnold Wiliem
Kieren Astin-Walmsley
Brian C. Lovell
73
10
0
16 Jul 2019
A Survey of Deep Learning-based Object Detection
A Survey of Deep Learning-based Object DetectionIEEE Access (IEEE Access), 2019
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
Lingling Li
Zhixi Feng
Rong Qu
ObjD
224
1,083
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
136
15
0
11 Jul 2019
Inverse Attention Guided Deep Crowd Counting Network
Inverse Attention Guided Deep Crowd Counting NetworkAdvanced Video and Signal Based Surveillance (AVSS), 2019
Vishwanath A. Sindagi
Vishal M. Patel
203
34
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
88
1
0
02 Jul 2019
Hard Pixel Mining for Depth Privileged Semantic Segmentation
Hard Pixel Mining for Depth Privileged Semantic SegmentationIEEE transactions on multimedia (IEEE TMM), 2019
Zhangxuan Gu
Li Niu
H. Zhao
Liqing Zhang
363
37
0
27 Jun 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Zhaowei Cai
Nuno Vasconcelos
ObjD
378
1,694
0
24 Jun 2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Deep Instance-Level Hard Negative Mining Model for Histopathology ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Meng Li
Lin Wu
Arnold Wiliem
Kun-li Zhao
Teng Zhang
Brian C. Lovell
212
38
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
113
4
0
20 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Yuan Liu
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
521
3,252
0
17 Jun 2019
ADASS: Adaptive Sample Selection for Training Acceleration
ADASS: Adaptive Sample Selection for Training Acceleration
Shen-Yi Zhao
Hao Gao
Wu-Jun Li
264
0
0
11 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization
Four Things Everyone Should Know to Improve Batch NormalizationInternational Conference on Learning Representations (ICLR), 2019
Cecilia Summers
M. Dinneen
203
56
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
89
8
0
05 Jun 2019
Two-Stream Region Convolutional 3D Network for Temporal Activity
  Detection
Two-Stream Region Convolutional 3D Network for Temporal Activity DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Huijuan Xu
Abir Das
Kate Saenko
3DPC
231
52
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
169
38
0
30 May 2019
Instance-Aware Representation Learning and Association for Online
  Multi-Person Tracking
Instance-Aware Representation Learning and Association for Online Multi-Person TrackingPattern Recognition (Pattern Recognit.), 2019
Hefeng Wu
Yafei Hu
Keze Wang
Hanhui Li
Lin Nie
Hui Cheng
VOT
131
33
0
29 May 2019
Derivative Manipulation for General Example Weighting
Derivative Manipulation for General Example Weighting
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
NoLa
418
1
0
27 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 DatasetsInternational Conference on Machine Learning (ICML), 2019
Guy Hacohen
Leshem Choshen
D. Weinshall
AI4TSOOD
393
59
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
132
0
0
24 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A SurveyProceedings of the IEEE (Proc. IEEE), 2019
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
476
3,080
0
13 May 2019
Learning Loss for Active Learning
Learning Loss for Active LearningComputer Vision and Pattern Recognition (CVPR), 2019
Donggeun Yoo
In So Kweon
UQCV
300
755
0
09 May 2019
Deep Flow-Guided Video Inpainting
Deep Flow-Guided Video InpaintingComputer Vision and Pattern Recognition (CVPR), 2019
Rui Xu
Xiaoxiao Li
Bolei Zhou
Chen Change Loy
VGen
255
252
0
08 May 2019
Meta-learners' learning dynamics are unlike learners'
Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
OffRL
209
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
349
691
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
125
40
0
25 Apr 2019
Reinterpreting CTC training as iterative fitting
Reinterpreting CTC training as iterative fitting
Hongzhu Li
Weiqiang Wang
77
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
138
29
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
183
72
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
110
68
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
235
181
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
187
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
177
121
0
12 Apr 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Saurabh Singh
Abhinav Shrivastava
298
56
0
12 Apr 2019
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic
  Representations
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
Hao Wu
Jiayuan Mao
Yufeng Zhang
Yuning Jiang
Lei Li
Weiwei Sun
Wei-Ying Ma
154
8
0
11 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
283
130
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
193
225
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
130
71
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
277
221
0
08 Apr 2019
Measuring Human Perception to Improve Handwritten Document Transcription
Measuring Human Perception to Improve Handwritten Document Transcription
Samuel Grieggs
Bingyu Shen
Cana Short
Pei Li
Jiaqi Ma
Mihow McKenny
Brian L. Price
Walter J. Scheirer
214
22
0
07 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
281
518
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
247
1,433
0
04 Apr 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSegVLMISeg
602
1,976
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
230
78
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
211
917
0
03 Apr 2019
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