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Efficient High-Resolution Deep Learning: A Survey

Efficient High-Resolution Deep Learning: A Survey

26 July 2022
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
    MedIm
ArXivPDFHTML

Papers citing "Efficient High-Resolution Deep Learning: A Survey"

50 / 105 papers shown
Title
Deep Learning for Whole Slide Image Analysis: An Overview
Deep Learning for Whole Slide Image Analysis: An Overview
Dennis Núñez
Ognjen Arandjelović
Peter D Caie
MedIm
77
271
0
18 Oct 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
329
1,904
0
17 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
390
3,614
0
20 Aug 2019
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd
  Counting
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Chenfeng Xu
Kai Qiu
Jianlong Fu
S. Bai
Yongchao Xu
X. Bai
61
127
0
29 Jul 2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
D. Marin
Zijian He
Peter Vajda
Priyam Chatterjee
Sam S. Tsai
Fei Yang
Yuri Boykov
SSeg
34
87
0
16 Jul 2019
Bag of Color Features For Color Constancy
Bag of Color Features For Color Constancy
Firas Laakom
Nikolaos Passalis
Jenni Raitoharju
Jarno Nikkanen
Anastasios Tefas
Alexandros Iosifidis
Moncef Gabbouj
46
33
0
11 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
139
18,134
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
348
6,782
0
06 May 2019
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in
  Multi-Tissue Histology Images
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
S. Graham
Q. Vu
S. Raza
A. Azam
Yee Wah Tsang
J. T. Kwak
Nasir M. Rajpoot
80
1,032
0
16 Dec 2018
Fast Object Detection in Compressed Video
Fast Object Detection in Compressed Video
Shiyao Wang
Hongchao Lu
Zhidong Deng
ObjD
49
59
0
27 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis
Neural Image Compression for Gigapixel Histopathology Image Analysis
David Tellez
G. Litjens
Jeroen van der Laak
F. Ciompi
69
206
0
07 Nov 2018
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
Łukasz Dudziak
Robert D. Mullins
Chengzhong Xu
71
316
0
12 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
66
131
0
10 Sep 2018
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather
  Forecast
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo Rodrigues
Igor Oliveira
R. L. F. Cunha
M. Netto
46
96
0
15 Aug 2018
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
405
569
0
13 Aug 2018
Composition Loss for Counting, Density Map Estimation and Localization
  in Dense Crowds
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Haroon Idrees
Muhmmad Tayyab
Kishan Athrey
Dong Zhang
S. Al-Maadeed
Nasir M. Rajpoot
M. Shah
80
679
0
02 Aug 2018
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer
  Segmentation in Whole-slide Images
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Zeya Wang
Wei-Ming Dai
Eric Xing
53
43
0
29 Jul 2018
Predicting breast tumor proliferation from whole-slide images: the
  TUPAC16 challenge
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M. Veta
Y. Heng
N. Stathonikos
B. Bejnordi
F. Beca
...
E. Chang
Yan Xu
Andrew H. Beck
P. Diest
J. Pluim
60
263
0
22 Jul 2018
Massively Parallel Video Networks
Massively Parallel Video Networks
João Carreira
Viorica Patraucean
L. Mazaré
Andrew Zisserman
Simon Osindero
52
43
0
11 Jun 2018
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite
  Imagery
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
A. V. Etten
ObjD
68
304
0
24 May 2018
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
Ilke Demir
Krzysztof Koperski
David Lindenbaum
Guan Pang
Jing Huang
Saikat Basu
Forest Hughes
D. Tuia
Ramesh Raskar
54
838
0
17 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
341
2,143
0
12 May 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
118
782
0
19 Mar 2018
The ApolloScape Open Dataset for Autonomous Driving and its Application
The ApolloScape Open Dataset for Autonomous Driving and its Application
Xinyu Huang
Peng Wang
Xinjing Cheng
Dingfu Zhou
Qichuan Geng
Ruigang Yang
3DPC
68
567
0
16 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
181
19,284
0
13 Jan 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
101
636
0
26 Nov 2017
Functional Map of the World
Functional Map of the World
Gordon A. Christie
Neil Fendley
James Wilson
R. Mukherjee
VGen
73
393
0
21 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
70
129
0
14 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear
  Filters
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
D. Tran
Alexandros Iosifidis
Moncef Gabbouj
58
40
0
28 Sep 2017
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories,
  Tools and Challenges for the Community
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community
John E. Ball
Derek T. Anderson
Chee Seng Chan
53
521
0
01 Sep 2017
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Nikolaos Passalis
Anastasios Tefas
46
70
0
25 Jul 2017
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
SSeg
73
1,413
0
27 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Detecting Cancer Metastases on Gigapixel Pathology Images
Detecting Cancer Metastases on Gigapixel Pathology Images
Yun-Hui Liu
Krishna Gadepalli
Mohammad Norouzi
George E. Dahl
Timo Kohlberger
...
Phil Q. Nelson
G. Corrado
J. Hipp
L. Peng
Martin C. Stumpe
MedIm
LM&MA
72
640
0
03 Mar 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
132
1,387
0
12 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
635
29,076
0
09 Sep 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
81
1,491
0
25 Jul 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 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
11,623
0
06 Apr 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
114
547
0
29 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
WIDER FACE: A Face Detection Benchmark
WIDER FACE: A Face Detection Benchmark
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
99
1,593
0
20 Nov 2015
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
71
579
0
13 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
563
7,992
0
13 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
702
36,958
0
08 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,387
0
05 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
AIMat
ObjD
514
62,294
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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