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Padding-free Convolution based on Preservation of Differential
  Characteristics of Kernels

Padding-free Convolution based on Preservation of Differential Characteristics of Kernels

12 September 2023
Kuangdai Leng
Jeyan Thiyagalingam
ArXivPDFHTML

Papers citing "Padding-free Convolution based on Preservation of Differential Characteristics of Kernels"

4 / 4 papers shown
Title
Per-channel autoregressive linear prediction padding in tiled CNN processing of 2D spatial data
Per-channel autoregressive linear prediction padding in tiled CNN processing of 2D spatial data
Olli Niemitalo
Otto Rosenberg
Nathaniel Narra
Olli Koskela
Iivari Kunttu
53
0
0
17 Feb 2025
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
195
232
0
16 Mar 2020
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,304
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
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