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Development of Skip Connection in Deep Neural Networks for Computer
  Vision and Medical Image Analysis: A Survey

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

2 May 2024
Guoping Xu
Xiaxia Wang
Xinglong Wu
Xuesong Leng
Yongchao Xu
    3DPC
ArXivPDFHTML

Papers citing "Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey"

50 / 77 papers shown
Title
DarkDeblur: Learning single-shot image deblurring in low-light condition
S. Sharif
R. A. Naqvi
Farman Alic
Mithun Biswas
VLM
152
20
0
04 Mar 2025
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
72
111
0
25 Apr 2022
MaxViT: Multi-Axis Vision Transformer
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu
Hossein Talebi
Han Zhang
Feng Yang
P. Milanfar
A. Bovik
Yinxiao Li
ViT
105
660
0
04 Apr 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
134
5,137
0
10 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
427
7,705
0
11 Nov 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu
Hongsheng Li
Guanglu Song
Xin Huang
Yu Liu
ViT
86
35
0
08 Oct 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
179
2,893
0
23 Aug 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
401
2,658
0
04 May 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
146
1,857
0
05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
409
21,347
0
25 Mar 2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object
  Detection
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Tingting Liang
Yongtao Wang
Zhi Tang
Guosheng Hu
Haibin Ling
ObjD
55
50
0
08 Mar 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
385
4,919
0
24 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
289
3,648
0
18 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
178
2,893
0
31 Dec 2020
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
Shuyang Cheng
Yuzhi Wang
Haibin Huang
Donghao Liu
Haoqiang Fan
Shuaicheng Liu
141
189
0
30 Dec 2020
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
D. Rozumnyi
Martin R. Oswald
V. Ferrari
Jirí Matas
Marc Pollefeys
3DH
71
30
0
01 Dec 2020
Review and Comparison of Commonly Used Activation Functions for Deep
  Neural Networks
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
Tomasz Szandała
98
287
0
15 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
200
5,046
0
08 Oct 2020
Residual Feature Distillation Network for Lightweight Image
  Super-Resolution
Residual Feature Distillation Network for Lightweight Image Super-Resolution
Jie Liu
Jie Tang
Gangshan Wu
54
387
0
24 Sep 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
353
13,002
0
26 May 2020
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object
  Detection
U2^22-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin
Zichen Zhang
Chenyang Huang
Masood Dehghan
Osmar R. Zaiane
Martin Jägersand
57
1,646
0
18 May 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
58
375
0
02 May 2020
Deformable 3D Convolution for Video Super-Resolution
Deformable 3D Convolution for Video Super-Resolution
Xinyi Ying
Longguang Wang
Yingqian Wang
Weidong Sheng
W. An
Yulan Guo
3DPC
SupR
58
120
0
06 Apr 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
64
641
0
31 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
89
834
0
20 Jan 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
117
2,617
0
11 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
53
114
0
19 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
70
677
0
16 Oct 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
76
462
0
31 Aug 2019
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution
  Network
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
Yuxiang Dai
Peixian Zhuang
MedIm
47
30
0
11 Jun 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
325
6,737
0
06 May 2019
A Simple Pooling-Based Design for Real-Time Salient Object Detection
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiangjiang Liu
Qibin Hou
Ming-Ming Cheng
Jiashi Feng
Jianmin Jiang
ObjD
73
862
0
21 Apr 2019
StereoDRNet: Dilated Residual Stereo Net
StereoDRNet: Dilated Residual Stereo Net
Rohan Chabra
Julian Straub
Chris Sweeney
Richard Newcombe
Henry Fuchs
MDE
3DPC
3DV
56
102
0
03 Apr 2019
Res2Net: A New Multi-scale Backbone Architecture
Res2Net: A New Multi-scale Backbone Architecture
Shanghua Gao
Ming-Ming Cheng
Kai Zhao
Xinyu Zhang
Ming-Hsuan Yang
Philip Torr
100
2,382
0
02 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
115
1,316
0
01 Apr 2019
Residual Reinforcement Learning for Robot Control
Residual Reinforcement Learning for Robot Control
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
72
416
0
07 Dec 2018
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang
Xinggang Wang
Yunchao Wei
Lichao Huang
Humphrey Shi
Wenyu Liu
Chang Huang
VOS
194
2,540
0
28 Nov 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
57
398
0
28 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
206
16,450
0
17 Jul 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
105
21,386
0
08 Apr 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
200
3,644
0
22 Mar 2018
Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
138
3,312
0
24 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
73
1,464
0
13 Jan 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
169
19,204
0
13 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
267
8,888
0
21 Nov 2017
Regularization for Deep Learning: A Taxonomy
Regularization for Deep Learning: A Taxonomy
J. Kukačka
Vladimir Golkov
Daniel Cremers
80
335
0
29 Oct 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
102
3,033
0
19 Oct 2017
Implicit Regularization in Deep Learning
Implicit Regularization in Deep Learning
Behnam Neyshabur
50
146
0
06 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
389
26,365
0
05 Sep 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
87
829
0
06 Jul 2017
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