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A guide to convolution arithmetic for deep learning

A guide to convolution arithmetic for deep learning

23 March 2016
Vincent Dumoulin
Francesco Visin
    FAtt
    3DH
    HAI
ArXivPDFHTML

Papers citing "A guide to convolution arithmetic for deep learning"

19 / 19 papers shown
Title
Bidirectional Variational Autoencoders
Bidirectional Variational Autoencoders
Bart Kosko
Olaoluwa Adigun
BDL
48
0
0
21 May 2025
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation
Yiqi Chen
Ganghai Huang
Sheng Zhang
Jianglin Dai
125
0
0
13 May 2025
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation
Volodymyr Havrylov
Haiwen Huang
Dan Zhang
Andreas Geiger
387
0
0
04 May 2025
Deep Perceptual Enhancement for Medical Image Analysis
S. Sharif
R. A. Naqvi
Mithun Biswas
Woong-Kee Loh
MedIm
151
21
0
11 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
178
11
0
28 Feb 2025
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
Seongmin Hwang
Daeyoung Han
Cheolkon Jung
Moongu Jeon
103
5
0
20 Jan 2025
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
Xinyu Xu
Huazhen Liu
Huilin Xiong
Wenhao Yu
Tao Zhang
137
0
0
03 Nov 2024
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
116
28
0
19 May 2023
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
A. Glushkovsky
DRL
53
6
0
24 Nov 2020
Adaptive feature recombination and recalibration for semantic
  segmentation with Fully Convolutional Networks
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Sérgio Pereira
Adriano Pinto
Joana Amorim
Alexandrine Ribeiro
Victor Alves
Carlos Alberto Silva
56
63
0
19 Jun 2020
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
282
7,361
0
12 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
310
37,704
0
20 May 2016
Generating images with recurrent adversarial networks
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
43
223
0
16 Feb 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
190
8,421
0
23 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
GAN
OOD
231
13,968
0
19 Nov 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
104
4,882
0
22 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
188
14,703
0
20 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
321
15,825
0
12 Nov 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
65
1,420
0
23 Nov 2012
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