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TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded
  Boundaries

TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundaries

12 March 2022
Daniel Rika
Dror Sholomon
E. David
N. Netanyahu
ArXivPDFHTML

Papers citing "TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundaries"

10 / 10 papers shown
Title
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative
  Adversarial Networks
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
Ru Li
Shuaicheng Liu
Guangfu Wang
Guanghui Liu
B. Zeng
GAN
31
26
0
19 Jan 2021
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest
  Path Optimization
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard
David Picard
Hedi Tabia
42
42
0
26 May 2020
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the
  Reconstruction of Portuguese Tile Panels
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Daniel Rika
Dror Sholomon
E. David
N. Netanyahu
23
15
0
04 Dec 2019
The 2018 PIRM Challenge on Perceptual Image Super-resolution
The 2018 PIRM Challenge on Perceptual Image Super-resolution
Yochai Blau
Roey Mechrez
Radu Timofte
T. Michaeli
Lihi Zelnik-Manor
SupR
70
465
0
20 Sep 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
318
19,640
0
21 Nov 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,477
0
24 Feb 2016
Solving Jigsaw Puzzles with Linear Programming
Solving Jigsaw Puzzles with Linear Programming
Rui Yu
Chris Russell
Lourdes Agapito
40
26
0
13 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
357
13,134
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
1