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Recent Advances in Deep Learning for Object Detection

Recent Advances in Deep Learning for Object Detection

10 August 2019
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "Recent Advances in Deep Learning for Object Detection"

50 / 210 papers shown
Title
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
157
2,422
0
12 Apr 2016
CRAFT Objects from Images
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
72
123
0
12 Apr 2016
Joint Face Detection and Alignment using Multi-task Cascaded
  Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
178
4,979
0
11 Apr 2016
A MultiPath Network for Object Detection
A MultiPath Network for Object Detection
Sergey Zagoruyko
Adam Lerer
Nayeon Lee
Pedro H. O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
ObjD
75
215
0
07 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,654
0
06 Apr 2016
HyperNet: Towards Accurate Region Proposal Generation and Joint Object
  Detection
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
Tao Kong
Anbang Yao
Yurong Chen
F. Sun
ObjD
84
812
0
03 Apr 2016
Object Skeleton Extraction in Natural Images by Fusing Scale-associated
  Deep Side Outputs
Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
Wei Shen
Kai Zhao
Yuan Jiang
Yan Wang
Zhijiang Zhang
X. Bai
47
104
0
31 Mar 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
71
854
0
29 Mar 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
68
222
0
24 Mar 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
119
5,037
0
22 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
74
506
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
59
301
0
26 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
382
14,268
0
23 Feb 2016
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
58
76
0
24 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
104
1,167
0
21 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
180
1,229
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
98
1,210
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
257
29,879
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
60
140
0
24 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
124
895
0
20 Nov 2015
WIDER FACE: A Face Detection Benchmark
WIDER FACE: A Face Detection Benchmark
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
101
1,595
0
20 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
276
14,027
0
19 Nov 2015
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with
  Deep Region-based Convolutional Networks
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Guosheng Lin
Xiongwei Wu
Hantang Liu
Yue Wu
Huiqiong Wang
Hui Xue
Qiang Wu
ObjD
68
77
0
08 Nov 2015
Scale-aware Fast R-CNN for Pedestrian Detection
Scale-aware Fast R-CNN for Pedestrian Detection
Jianan Li
Xiaodan Liang
Shengmei Shen
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
107
785
0
28 Oct 2015
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
68
119
0
15 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,862
0
01 Oct 2015
From Facial Parts Responses to Face Detection: A Deep Learning Approach
From Facial Parts Responses to Face Detection: A Deep Learning Approach
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
81
570
0
22 Sep 2015
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai
M. Saberian
Nuno Vasconcelos
70
339
0
19 Jul 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
108
802
0
20 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
735
37,033
0
08 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
533
62,409
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjDSSeg
109
739
0
07 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
312
25,087
0
30 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks
  for Object Detection
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
Yukun Zhu
R. Urtasun
Ruslan Salakhutdinov
Sanja Fidler
ObjD
69
157
0
15 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
87
941
0
03 Feb 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
63
350
0
23 Jan 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
206
4,898
0
22 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
179
1,171
0
18 Dec 2014
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object
  Detection
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang
Xiaogang Wang
Xingyu Zeng
Shi Qiu
Ping Luo
...
Hongsheng Li
Shuo Yang
Zhe Wang
Chen Change Loy
Xiaoou Tang
ObjD
84
438
0
17 Dec 2014
Ten Years of Pedestrian Detection, What Have We Learned?
Ten Years of Pedestrian Detection, What Have We Learned?
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
91
713
0
16 Nov 2014
Deformable Part Models are Convolutional Neural Networks
Deformable Part Models are Convolutional Neural Networks
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
96
457
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
494
43,717
0
17 Sep 2014
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