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Reinforced active learning for image segmentation

Reinforced active learning for image segmentation

16 February 2020
Arantxa Casanova
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
ArXivPDFHTML

Papers citing "Reinforced active learning for image segmentation"

21 / 21 papers shown
Title
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang
Yiping Jin
Ilija Ilievski
Wenqiang Lei
Jiancheng Lv
35
3
0
20 May 2024
Correlation-aware active learning for surgery video segmentation
Correlation-aware active learning for surgery video segmentation
Fei Wu
Pablo Márquez-Neila
Mingyi Zheng
Hedyeh Rafii-Tari
Raphael Sznitman
29
3
0
15 Nov 2023
Turn-Level Active Learning for Dialogue State Tracking
Turn-Level Active Learning for Dialogue State Tracking
Zihan Zhang
Meng Fang
Fanghua Ye
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
34
1
0
23 Oct 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and
  Diversity Sampling
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu
Yuanmin Tang
Giulia DeSalvo
Suraj Kothawade
Abdullah Rashwan
S. Tavakkol
Kayhan Batmanghelich
Xiaoqi Yin
ISeg
19
0
0
28 Sep 2023
A Unified Active Learning Framework for Annotating Graph Data with
  Application to Software Source Code Performance Prediction
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction
P. Samoaa
Linus Aronsson
Antonio Longa
Philipp Leitner
M. Chehreghani
14
6
0
06 Apr 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
Responsible Active Learning via Human-in-the-loop Peer Study
Responsible Active Learning via Human-in-the-loop Peer Study
Yu Cao
Jingya Wang
Baosheng Yu
Dacheng Tao
15
0
0
24 Nov 2022
Semantic Segmentation for Fully Automated Macrofouling Analysis on
  Coatings after Field Exposure
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
Lutz M. K. Krause
Emily Manderfeld
Patricia Gnutt
Louisa Vogler
Ann Wassick
...
Marco Rudolph
K. Hunsucker
G. Swain
Bodo Rosenhahn
A. Rosenhahn
13
5
0
21 Nov 2022
Balancing Bias and Variance for Active Weakly Supervised Learning
Balancing Bias and Variance for Active Weakly Supervised Learning
Hitesh Sapkota
Qi Yu
6
3
0
12 Jun 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
22
103
0
25 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
180
499
0
22 Feb 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
34
12
0
18 Feb 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli
Ariel Shamir
S. Avidan
VLM
16
1
0
25 Jan 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
30
13
0
11 Dec 2021
Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
14
88
0
25 Nov 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document
  Content Analysis
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis
Sumit Shekhar
Bhanu Prakash Reddy Guda
Ashutosh Chaubey
Ishan Jindal
Avanish Jain
17
0
0
01 Oct 2021
All you need are a few pixels: semantic segmentation with PixelPick
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
19
42
0
13 Apr 2021
A Weakly Supervised Region-Based Active Learning Method for COVID-19
  Segmentation in CT Images
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
I. Laradji
Pau Rodríguez López
Frederic Branchaud-Charron
Keegan Lensink
Parmida Atighehchian
William Parker
David Vazquez
Derek Nowrouzezahrai
31
19
0
07 Jul 2020
DSNet for Real-Time Driving Scene Semantic Segmentation
Wenfu Wang
Zhijie Pan
SSeg
18
14
0
06 Dec 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,631
0
02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
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