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Meta-Learning Initializations for Image Segmentation
v1v2v3v4 (latest)

Meta-Learning Initializations for Image Segmentation

13 December 2019
S. Hendryx
Andrew B. Leach
P. Hein
Clayton T. Morrison
    VLM
ArXiv (abs)PDFHTMLGithub (32★)

Papers citing "Meta-Learning Initializations for Image Segmentation"

19 / 19 papers shown
Title
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
608
4,822
0
23 Jan 2020
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
78
248
0
29 Jul 2019
Generalization Guarantees for Neural Networks via Harnessing the
  Low-rank Structure of the Jacobian
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
Samet Oymak
Zalan Fabian
Mingchen Li
Mahdi Soltanolkotabi
MLT
66
88
0
12 Jun 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement
  and Attentive Few-Shot Learning
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
VLMSSeg
68
544
0
06 Mar 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image
  Segmentation
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
SSeg
115
981
0
10 Jan 2019
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
72
309
0
16 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
301
4,050
0
16 Nov 2017
Generalization in Deep Learning
Generalization in Deep Learning
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
91
460
0
16 Oct 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSegVLM
115
704
0
11 Sep 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
94
3,637
0
16 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
96
1,119
0
31 Jul 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural
  Network: A Kaggle Competition
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
V. Iglovikov
Sergey Mushinskiy
V. Osin
55
168
0
19 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
187
1,614
0
05 Jun 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
68
1,032
0
23 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
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
1.1K
11,623
0
06 Apr 2016
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson
Ameet Talwalkar
208
580
0
27 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
359
7,942
0
13 Jun 2012
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