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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
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer
  Feature Extraction and Deformable Occlusion Handling
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion HandlingIEEE Transactions on Image Processing (TIP), 2019
Tianrui Liu
Tong Lu
Lin Ma
Jun-Jie Huang
Tania Stathaki
Tianhong Dai
167
36
0
18 Dec 2019
Curriculum Learning Strategies for IR: An Empirical Study on
  Conversation Response Ranking
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response RankingEuropean Conference on Information Retrieval (ECIR), 2019
Gustavo Penha
C. Hauff
170
24
0
18 Dec 2019
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
IoU-uniform R-CNN: Breaking Through the Limitations of RPNPattern Recognition (Pattern Recognit.), 2019
Li Zhu
Zihao Xie
Liman Liu
B. Tao
Wenbing Tao
ObjD
136
54
0
11 Dec 2019
Learning from Noisy Anchors for One-stage Object Detection
Learning from Noisy Anchors for One-stage Object DetectionComputer Vision and Pattern Recognition (CVPR), 2019
Hengduo Li
Zuxuan Wu
Chen Zhu
Caiming Xiong
R. Socher
L. Davis
NoLa
301
107
0
11 Dec 2019
RDSNet: A New Deep Architecture for Reciprocal Object Detection and
  Instance Segmentation
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2019
Shaoru Wang
Yongchao Gong
Junliang Xing
Lichao Huang
Chang Huang
Weiming Hu
ISeg
199
64
0
11 Dec 2019
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition
  and Postural Assessment
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural AssessmentIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Behnoosh Parsa
Athma Narayanan
Behzad Dariush
3DH
212
22
0
07 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
378
624
0
05 Dec 2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample SelectionComputer Vision and Pattern Recognition (CVPR), 2019
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
619
1,843
0
05 Dec 2019
YOLACT++: Better Real-time Instance Segmentation
YOLACT++: Better Real-time Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
VLMSSegISeg
325
476
0
03 Dec 2019
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
Ziming Liu
Guangyu Gao
Lin Sun
Lingyu Fang
ObjD
481
71
0
02 Dec 2019
Face Detection with Feature Pyramids and Landmarks
Face Detection with Feature Pyramids and Landmarks
Samuel W. F. Earp
Pavit Noinongyao
Justin A. Cairns
Ankush Ganguly
CVBM
185
15
0
02 Dec 2019
Siam R-CNN: Visual Tracking by Re-Detection
Siam R-CNN: Visual Tracking by Re-DetectionComputer Vision and Pattern Recognition (CVPR), 2019
P. Voigtlaender
Jonathon Luiten
Juil Sock
Bastian Leibe
309
626
0
28 Nov 2019
Training Multi-Object Detector by Estimating Bounding Box Distribution
  for Input Image
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageIEEE International Conference on Computer Vision (ICCV), 2019
Jaeyoung Yoo
Hojun Lee
Ahmed Abdulaal
André Altmann
James Cole
ObjD
261
6
0
28 Nov 2019
Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
Occluded Pedestrian Detection with Visible IoU and Box Sign PredictorInternational Conference on Information Photonics (ICIP), 2019
Ruiqi Lu
Huimin Ma
124
6
0
26 Nov 2019
Mis-classified Vector Guided Softmax Loss for Face Recognition
Mis-classified Vector Guided Softmax Loss for Face RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2019
Xiaobo Wang
Shifeng Zhang
Shuo Wang
Tianyu Fu
Hailin Shi
Tao Mei
CVBM
164
185
0
26 Nov 2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Robust Conditional GAN from Uncertainty-Aware Pairwise ComparisonsAAAI Conference on Artificial Intelligence (AAAI), 2019
Ligong Han
Ruijiang Gao
Mun Kim
Xin Tao
Bo Liu
Dimitris N. Metaxas
171
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 SelectionInternational Conference on Information and Knowledge Management (CIKM), 2019
Hwanjun Song
Minseok Kim
Sundong Kim
Jae-Gil Lee
275
17
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
391
78
0
18 Nov 2019
Learning Where to Focus for Efficient Video Object Detection
Learning Where to Focus for Efficient Video Object Detection
Zhengkai Jiang
Yu Liu
Ceyuan Yang
Jihao Liu
Shiyang Feng
Qian Zhang
Shiming Xiang
Chunhong Pan
138
1
0
13 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks
Dice Loss for Data-imbalanced NLP TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Junjun Liang
Leilei Gan
Jiwei Li
462
685
0
07 Nov 2019
An Alternative Probabilistic Interpretation of the Huber Loss
An Alternative Probabilistic Interpretation of the Huber LossComputer Vision and Pattern Recognition (CVPR), 2019
Gregory P. Meyer
396
145
0
05 Nov 2019
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting
  Solution
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
Hu Xu
Bing-Quan Liu
Lei Shu
Philip S. Yu
167
7
0
04 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
223
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
202
67
0
29 Oct 2019
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and WeightingNeural Information Processing Systems (NeurIPS), 2019
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric Xing
184
125
0
28 Oct 2019
An End-to-End Network for Co-Saliency Detection in One Single Image
An End-to-End Network for Co-Saliency Detection in One Single ImageScience China Information Sciences (SCIS), 2019
Yuanhao Yue
Qin Zou
Hongkai Yu
Qian Wang
Zhongyuan Wang
Song Wang
221
7
0
25 Oct 2019
Mining GOLD Samples for Conditional GANs
Mining GOLD Samples for Conditional GANsNeural Information Processing Systems (NeurIPS), 2019
Sangwoo Mo
Chiheon Kim
Sungwoong Kim
Minsu Cho
Jinwoo Shin
GANAI4CE
144
22
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
126
27
0
19 Oct 2019
Convolutional Character Networks
Convolutional Character NetworksIEEE International Conference on Computer Vision (ICCV), 2019
Linjie Xing
Zhi Tian
Weilin Huang
Matthew R. Scott
295
175
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 LearningIEEE transactions on multimedia (IEEE TMM), 2019
Ying Zheng
Huanjin Yao
Xiaoshuai Sun
233
8
0
14 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
181
122
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
164
123
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
215
142
0
02 Oct 2019
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal
Zhi Chen
Fan Yang
Wenbing Tao
95
1
0
28 Sep 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction DifficultyIEEE International Conference on Computer Vision (ICCV), 2019
Serim Ryou
Seong-Gyun Jeong
Pietro Perona
167
45
0
24 Sep 2019
Improving Collaborative Metric Learning with Efficient Negative Sampling
Improving Collaborative Metric Learning with Efficient Negative SamplingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Viet-Anh Tran
Romain Hennequin
Jimena Royo-Letelier
Manuel Moussallam
115
26
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
156
2
0
24 Sep 2019
Learning Dense Representations for Entity Retrieval
Learning Dense Representations for Entity RetrievalConference on Computational Natural Language Learning (CoNLL), 2019
D. Gillick
Sayali Kulkarni
L. Lansing
Alessandro Presta
Jason Baldridge
Eugene Ie
Diego Garcia-Olano
RALM
312
216
0
23 Sep 2019
Generating Positive Bounding Boxes for Balanced Training of Object
  Detectors
Generating Positive Bounding Boxes for Balanced Training of Object DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
ObjD
232
24
0
21 Sep 2019
Dual Graph Convolutional Network for Semantic Segmentation
Dual Graph Convolutional Network for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2019
Li Zhang
Xiangtai Li
Anurag Arnab
Kuiyuan Yang
Yunhai Tong
Juil Sock
GNN
278
190
0
13 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
396
532
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 BenchmarkIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2019
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
352
1,850
0
31 Aug 2019
Residual Objectness for Imbalance Reduction
Residual Objectness for Imbalance ReductionPattern Recognition (Pattern Recognit.), 2019
Joya Chen
Dong Liu
Bin Luo
X. Peng
Tong Xu
Enhong Chen
ObjD
214
9
0
24 Aug 2019
Dynamic Graph Message Passing Networks
Dynamic Graph Message Passing NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Li Zhang
Dan Xu
Anurag Arnab
Juil Sock
GNN
392
147
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
143
10
0
19 Aug 2019
Language Features Matter: Effective Language Representations for
  Vision-Language Tasks
Language Features Matter: Effective Language Representations for Vision-Language TasksIEEE International Conference on Computer Vision (ICCV), 2019
Andrea Burns
Reuben Tan
Kate Saenko
Stan Sclaroff
Bryan A. Plummer
VLM
165
28
0
17 Aug 2019
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel
  Aggregation Network
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Wenhai Wang
Enze Xie
Xiaoge Song
Yuhang Zang
Wenjia Wang
Tong Lu
Gang Yu
Chunhua Shen
182
481
0
16 Aug 2019
IoU-balanced Loss Functions for Single-stage Object Detection
IoU-balanced Loss Functions for Single-stage Object DetectionPattern Recognition Letters (PR), 2019
Shengkai Wu
Jinrong Yang
Xinggang Wang
Xiaoping Li
ObjD
150
107
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
317
897
0
10 Aug 2019
Fast Point R-CNN
Fast Point R-CNNIEEE International Conference on Computer Vision (ICCV), 2019
Yilun Chen
Shu Liu
Xiaoyong Shen
Jiaya Jia
3DPC
251
432
0
08 Aug 2019
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