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Convolutional Neural Networks with Gated Recurrent Connections

Convolutional Neural Networks with Gated Recurrent Connections

5 June 2021
Jianfeng Wang
Xiaolin Hu
    ObjD
ArXiv (abs)PDFHTMLGithub (115★)

Papers citing "Convolutional Neural Networks with Gated Recurrent Connections"

50 / 56 papers shown
Title
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text
  Recognition
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Zhi Qiao
Yu Zhou
Dongbao Yang
Yucan Zhou
Weiping Wang
69
228
0
22 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
114
534
0
08 Nov 2019
FreeAnchor: Learning to Match Anchors for Visual Object Detection
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang
Fang Wan
Chang-rui Liu
Rongrong Ji
QiXiang Ye
ObjD
48
262
0
05 Sep 2019
CenterNet: Keypoint Triplets for Object Detection
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan
S. Bai
Lingxi Xie
H. Qi
Qingming Huang
Q. Tian
NoLa
119
2,698
0
17 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
110
3,260
0
16 Apr 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
94
2,037
0
15 Mar 2019
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu
Yihui He
Marios Savvides
ObjD
76
797
0
02 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou
Jiacheng Zhuo
Philipp Krahenbuhl
ObjD
118
867
0
23 Jan 2019
ESIR: End-to-end Scene Text Recognition via Iterative Image
  Rectification
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification
Fangneng Zhan
Shijian Lu
81
250
0
14 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
105
2,018
0
27 Nov 2018
Gradient Harmonized Single-stage Detector
Gradient Harmonized Single-stage Detector
Buyu Li
Yu Liu
Xiaogang Wang
ObjD
53
529
0
13 Nov 2018
M2Det: A Single-Shot Object Detector based on Multi-Level Feature
  Pyramid Network
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying-Cong Chen
Lingyi Cai
Haibin Ling
ObjD
54
798
0
12 Nov 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural
  Networks
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
73
576
0
29 Oct 2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Adrià Recasens
Petr Kellnhofer
Simon Stent
Wojciech Matusik
Antonio Torralba
68
131
0
10 Sep 2018
Deep Feature Pyramid Reconfiguration for Object Detection
Deep Feature Pyramid Reconfiguration for Object Detection
Tao Kong
F. Sun
Wen-bing Huang
Huaping Liu
ObjD
82
202
0
24 Aug 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
69
3,624
0
03 Aug 2018
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting
  Text with Arbitrary Shapes
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu
Minghui Liao
Cong Yao
Wenhao Wu
X. Bai
84
599
0
06 Jul 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
97
1,542
0
29 May 2018
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
72
1,266
0
21 Nov 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
56
1,287
0
18 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,797
0
25 Oct 2017
Focusing Attention: Towards Accurate Text Recognition in Natural Images
Focusing Attention: Towards Accurate Text Recognition in Natural Images
Zhanzhan Cheng
Fan Bai
Yunlu Xu
Gang Zheng
Shiliang Pu
Shuigeng Zhou
54
448
0
07 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,539
0
05 Sep 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
71
171
0
27 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
201
5,337
0
17 Mar 2017
DSSD : Deconvolutional Single Shot Detector
DSSD : Deconvolutional Single Shot Detector
Cheng-Yang Fu
Wen Liu
A. Ranga
A. Tyagi
Alexander C. Berg
ObjD
144
1,917
0
23 Jan 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,619
0
25 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,345
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
163
941
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
349
7,995
0
23 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,361
0
30 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee
Simon Osindero
VLM
73
460
0
09 Mar 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
379
14,260
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
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
238
29,830
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
883
27,373
0
02 Dec 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
161
1,682
0
22 Jul 2015
An End-to-End Trainable Neural Network for Image-based Sequence
  Recognition and Its Application to Scene Text Recognition
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi
X. Bai
Cong Yao
VLM
213
2,489
0
21 Jul 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
463
43,328
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,681
0
21 Dec 2014
Deep Structured Output Learning for Unconstrained Text Recognition
Deep Structured Output Learning for Unconstrained Text Recognition
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
92
234
0
18 Dec 2014
Supervised mid-level features for word image representation
Supervised mid-level features for word image representation
Albert Gordo
SSL
112
106
0
20 Oct 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
346
2,243
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
477
43,685
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,590
0
01 Sep 2014
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