Ladder Siamese Network: a Method and Insights for Multi-level
Self-Supervised Learning

Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning

25 November 2022

Ryota Yoshihashi

Shuhei Nishimura

Dai Yonebayashi

Tomohiro Tanaka

Takashi Miyazaki

Papers citing "Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning"

16 / 66 papers shown

Title
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 343 11,941 0 04 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 222 8,030 0 13 Aug 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 293 37,704 0 20 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 46 5,277 0 25 Apr 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 64 1,339 0 12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 650 11,540 0 06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 131 2,965 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 64 1,369 0 09 Jul 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.1K 76,547 0 18 May 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 234 3,862 0 19 Dec 2014
From neural PCA to deep unsupervised learning Harri Valpola BDL 59 184 0 28 Nov 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 250 2,229 0 18 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 297 43,511 0 17 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 63 1,018 0 26 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 242 43,290 0 01 May 2014