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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
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Yusen Zhang
Wenliang Zheng
Aashrith Madasu
Peng Shi
Ryo Kamoi
...
Ranran Haoran Zhang
Avitej Iyer
Renze Lou
Wenpeng Yin
Rui Zhang
268
0
0
25 Apr 2025
Faster Causal Attention Over Large Sequences Through Sparse Flash
  Attention
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention
Matteo Pagliardini
Daniele Paliotta
Martin Jaggi
Franccois Fleuret
LRM
59
25
0
01 Jun 2023
Distributed Deep Learning Inference Acceleration using Seamless
  Collaboration in Edge Computing
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing
Nana Li
Alexandros Iosifidis
Qi Zhang
20
6
0
22 Jul 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical
  Self-Supervised Learning
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViT
MedIm
94
424
0
06 Jun 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao
Daniel Y. Fu
Stefano Ermon
Atri Rudra
Christopher Ré
VLM
226
2,233
0
27 May 2022
Dynamic Split Computing for Efficient Deep Edge Intelligence
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia
Nemanja Milošević
Qi Zhang
Dragana Bajović
Alexandros Iosifidis
50
27
0
23 May 2022
MiniViT: Compressing Vision Transformers with Weight Multiplexing
MiniViT: Compressing Vision Transformers with Weight Multiplexing
Jinnian Zhang
Houwen Peng
Kan Wu
Mengchen Liu
Bin Xiao
Jianlong Fu
Lu Yuan
ViT
70
125
0
14 Apr 2022
Continual Inference: A Library for Efficient Online Inference with Deep
  Neural Networks in PyTorch
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch
Lukas Hedegaard
Alexandros Iosifidis
BDL
3DV
CLL
37
6
0
07 Apr 2022
SALISA: Saliency-based Input Sampling for Efficient Video Object
  Detection
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection
B. Bejnordi
A. Habibian
Fatih Porikli
Amir Ghodrati
67
12
0
05 Apr 2022
Continual Transformers: Redundancy-Free Attention for Online Inference
Continual Transformers: Redundancy-Free Attention for Online Inference
Lukas Hedegaard
Arian Bakhtiarnia
Alexandros Iosifidis
CLL
67
12
0
17 Jan 2022
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Jiaqi Gu
Hyoukjun Kwon
Dilin Wang
Wei Ye
Meng Li
Yu-Hsin Chen
Liangzhen Lai
Vikas Chandra
David Z. Pan
ViT
57
187
0
01 Nov 2021
FOVEA: Foveated Image Magnification for Autonomous Navigation
FOVEA: Foveated Image Magnification for Autonomous Navigation
Chittesh Thavamani
Mengtian Li
N. Cebron
Deva Ramanan
59
32
0
27 Aug 2021
PonderNet: Learning to Ponder
PonderNet: Learning to Ponder
Andrea Banino
Jan Balaguer
Charles Blundell
PINN
AIMat
133
81
0
12 Jul 2021
CSWin Transformer: A General Vision Transformer Backbone with
  Cross-Shaped Windows
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong
Jianmin Bao
Dongdong Chen
Weiming Zhang
Nenghai Yu
Lu Yuan
Dong Chen
B. Guo
ViT
145
982
0
01 Jul 2021
Looking Outside the Window: Wide-Context Transformer for the Semantic
  Segmentation of High-Resolution Remote Sensing Images
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
L. Ding
Dong Lin
Shaofu Lin
Jing Zhang
Xiaojie Cui
Yuebin Wang
Hao Tang
Lorenzo Bruzzone
ViT
61
101
0
29 Jun 2021
Multi-Exit Vision Transformer for Dynamic Inference
Multi-Exit Vision Transformer for Dynamic Inference
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
88
27
0
29 Jun 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures with
  Lightweight Transformers
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers
Mingyu Ding
Xiaochen Lian
Linjie Yang
Peng Wang
Xiaojie Jin
Zhiwu Lu
Ping Luo
ViT
71
61
0
11 Jun 2021
Glance-and-Gaze Vision Transformer
Glance-and-Gaze Vision Transformer
Qihang Yu
Yingda Xia
Yutong Bai
Yongyi Lu
Alan Yuille
Wei Shen
ViT
54
76
0
04 Jun 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of
  Videos
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
Lukas Hedegaard
Alexandros Iosifidis
3DPC
52
14
0
31 May 2021
Can Attention Enable MLPs To Catch Up With CNNs?
Can Attention Enable MLPs To Catch Up With CNNs?
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Dun Liang
Ralph Robert Martin
Shimin Hu
AAML
61
17
0
31 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
61
35
0
19 May 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via
  Curriculum Learning
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
85
13
0
21 Apr 2021
Slimmable Compressive Autoencoders for Practical Neural Image
  Compression
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Feiyu Yang
Luis Herranz
Yongmei Cheng
M. Mozerov
46
65
0
29 Mar 2021
Multi-Scale Vision Longformer: A New Vision Transformer for
  High-Resolution Image Encoding
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
Pengchuan Zhang
Xiyang Dai
Jianwei Yang
Bin Xiao
Lu Yuan
Lei Zhang
Jianfeng Gao
ViT
85
335
0
29 Mar 2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in
  High-Resolution Remote Sensing Imagery
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun
Peijin Wang
Zhiyuan Yan
F. Xu
Ruiping Wang
...
Tao Xu
M. Weinmann
Stefan Hinz
Cheng Wang
Kun Fu
ObjD
AI4TS
58
364
0
09 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
82
207
0
08 Mar 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
115
649
0
09 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
208
697
0
24 Jan 2021
Real-Time High-Resolution Background Matting
Real-Time High-Resolution Background Matting
Shanchuan Lin
Andrey Ryabtsev
Soumyadip Sengupta
Brian L. Curless
S. M. Seitz
Ira Kemelmacher-Shlizerman
3DH
99
222
0
14 Dec 2020
Single Image Human Proxemics Estimation for Visual Social Distancing
Single Image Human Proxemics Estimation for Visual Social Distancing
Maya Aghaei
Matteo Bustreo
Yiming Wang
Gianluca Bailo
Pietro Morerio
Alessio Del Bue
88
29
0
03 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
654
41,103
0
22 Oct 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
154
1,123
0
14 Sep 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
76
2,960
0
09 Jun 2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Di Hu
Lichao Mou
Qingzhong Wang
Junyu Gao
Yuansheng Hua
Dejing Dou
Xiaoxiang Zhu
46
31
0
14 May 2020
Remote Sensing Image Scene Classification Meets Deep Learning:
  Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
98
635
0
03 May 2020
Why should we add early exits to neural networks?
Why should we add early exits to neural networks?
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
62
123
0
27 Apr 2020
A Survey of Single-Scene Video Anomaly Detection
A Survey of Single-Scene Video Anomaly Detection
B. Ramachandra
Michael J. Jones
Ranga Raju Vatsavai
AI4TS
76
178
0
13 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
171
4,071
0
10 Apr 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
65
227
0
07 Apr 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
67
155
0
28 Mar 2020
PANDA: A Gigapixel-level Human-centric Video Dataset
PANDA: A Gigapixel-level Human-centric Video Dataset
Xueyan Wang
Xiya Zhang
Yinheng Zhu
Yuchen Guo
Xiaoyun Yuan
...
Zerun Wang
Guiguang Ding
D. Brady
Qionghai Dai
Lu Fang
VGen
72
81
0
10 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
80
69
0
01 Mar 2020
Learning in the Frequency Domain
Learning in the Frequency Domain
Kai Xu
Minghai Qin
Fei Sun
Yuhao Wang
Yen-kuang Chen
Fengbo Ren
88
404
0
27 Feb 2020
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
Usman Sajid
Hasan Sajid
Hongcheng Wang
Guanghui Wang
89
45
0
27 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
396
10,591
0
17 Feb 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi. Wang
Junyu Gao
Wei Lin
Xuelong Li
94
390
0
10 Jan 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
121
580
0
28 Dec 2019
Zoom in to where it matters: a hierarchical graph based model for
  mammogram analysis
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
Hao Du
Jiashi Feng
Mengling Feng
139
13
0
16 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
134
2,885
0
10 Dec 2019
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image
  Segmentation
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation
D. J. Ho
D. V. K. Yarlagadda
Timothy D’alfonso
M. Hanna
Anne Grabenstetter
Peter Ntiamoah
E. Brogi
L. Tan
Thomas J. Fuchs
52
107
0
29 Oct 2019
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