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Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images

Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

28 May 2024
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
    VLM
ArXivPDFHTML

Papers citing "Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images"

29 / 29 papers shown
Title
Generative Prompt Model for Weakly Supervised Object Localization
Generative Prompt Model for Weakly Supervised Object Localization
Yuzhong Zhao
QiXiang Ye
Weijia Wu
Chunhua Shen
Fang Wan
WSOL
VLM
DiffM
68
29
0
19 Jul 2023
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote
  Sensing Data
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Manas
Alexandre Lacoste
Xavier Giró-i-Nieto
David Vazquez
Pau Rodríguez López
69
264
0
30 Mar 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
192
481
0
28 Jan 2021
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented
  Object Detection in Remote Sensing Images
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Qi Ming
Lingjuan Miao
Z. Zhou
Yunpeng Dong
ObjD
126
179
0
18 Jan 2021
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
65
57
0
06 Dec 2020
Deep Active Learning for Joint Classification & Segmentation with Weak
  Annotator
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
VLM
57
30
0
10 Oct 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
99
1,140
0
30 Aug 2020
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D
  Data for Robotic Wheelchairs
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs
Haoyu Wang
Yuxiang Sun
Ming-Yuan Liu
44
62
0
12 Jul 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided
  Sampling
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Kaichen Zhou
Elsa D. Angelini
Yike Guo
Wenjia Bai
MedIm
53
33
0
26 Jun 2020
Cost-efficient segmentation of electron microscopy images using active
  learning
Cost-efficient segmentation of electron microscopy images using active learning
J. Roels
Yvan Saeys
24
13
0
13 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
177
1,219
0
21 Oct 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
796
0
26 Aug 2019
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Melanie Lubrano di Scandalea
C. Perone
Mathieu Boudreau
Julien Cohen-Adad
40
23
0
11 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
87
627
0
19 Jun 2019
Collaborative Global-Local Networks for Memory-Efficient Segmentation of
  Ultra-High Resolution Images
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
Wuyang Chen
Ziyu Jiang
Zhangyang Wang
Kexin Cui
Xiaoning Qian
67
152
0
15 May 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
85
660
0
09 May 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
119
579
0
31 Mar 2019
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
79
108
0
23 Oct 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
322
5,108
0
09 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
87
851
0
17 Jul 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
143
1,426
0
24 Mar 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
230
8,473
0
17 Jun 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical
  Image Segmentation
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Ling Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
Danny Chen
MedIm
71
504
0
15 Jun 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
70
1,736
0
08 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
662
12,015
0
04 Dec 2016
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
821
9,318
0
06 Jun 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
135
3,494
0
24 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Bayesian Active Learning for Classification and Preference Learning
Bayesian Active Learning for Classification and Preference Learning
N. Houlsby
Ferenc Huszár
Zoubin Ghahramani
M. Lengyel
122
913
0
24 Dec 2011
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