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Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data

Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data

29 October 2018
O. Tasar
Y. Tarabalka
Pierre Alliez
    CLL
ArXivPDFHTML

Papers citing "Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data"

49 / 49 papers shown
Title
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation
Quanwei Liu
Tao Huang
Yanni Dong
Jiaqi Yang
Wei Xiang
36
0
0
21 May 2025
Continual Cross-Modal Generalization
Continual Cross-Modal Generalization
Yan Xia
Hai Huang
Minghui Fang
Zhou Zhao
CLL
67
0
0
01 Apr 2025
Reconciling Semantic Controllability and Diversity for Remote Sensing
  Image Synthesis with Hybrid Semantic Embedding
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding
Jiaheng Liu
Danpei Zhao
Bo Yuan
Wentao Li
Tian Li
83
0
0
22 Nov 2024
Learning at a Glance: Towards Interpretable Data-limited Continual
  Semantic Segmentation via Semantic-Invariance Modelling
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Bo Yuan
Danpei Zhao
Z. Shi
VLM
CLL
37
3
0
22 Jul 2024
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DV
CLL
40
10
0
22 Oct 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class
  Incremental Semantic Segmentation Without Exemplar Memory
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Danpei Zhao
Bo Yuan
Z. Shi
VLM
CLL
36
9
0
27 Sep 2023
Efficient Curriculum based Continual Learning with Informative Subset
  Selection for Remote Sensing Scene Classification
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
Divakar Bhat
Biplab Banerjee
S. Chaudhuri
A. Bhattacharya
CLL
31
0
0
03 Sep 2023
A Unified Object Counting Network with Object Occupation Prior
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang
Qing Wang
Fengna Cheng
Yuankai Qi
Qingshan Liu
42
7
0
29 Dec 2022
Overcoming Catastrophic Forgetting by XAI
Overcoming Catastrophic Forgetting by XAI
Giang Nguyen
20
0
0
25 Nov 2022
Delving into Transformer for Incremental Semantic Segmentation
Delving into Transformer for Incremental Semantic Segmentation
Zekai Xu
Mingying Zhang
Jiayue Hou
Xing Gong
Chuan Wen
Chengjie Wang
Junge Zhang
CLL
32
1
0
18 Nov 2022
Attribution-aware Weight Transfer: A Warm-Start Initialization for
  Class-Incremental Semantic Segmentation
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami
René Schuster
Joost van de Weijer
D. Stricker
CLL
36
18
0
13 Oct 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
32
10
0
20 Sep 2022
Continual Learning for Class- and Domain-Incremental Semantic
  Segmentation
Continual Learning for Class- and Domain-Incremental Semantic Segmentation
Tobias Kalb
M. Roschani
M. Ruf
Jürgen Beyerer
CLL
VLM
19
23
0
16 Sep 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic
  Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb
Jürgen Beyerer
CLL
43
8
0
16 Sep 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
41
26
0
23 May 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
40
64
0
26 Mar 2022
Learning Incrementally to Segment Multiple Organs in a CT Image
Learning Incrementally to Segment Multiple Organs in a CT Image
Peng Liu
Xia Wang
Mengsi Fan
Hongli Pan
Minmin Yin
...
Xiaoying Zhao
Li Xiao
Liangjing Ding
Xingwang Wu
S. Kevin Zhou
CLL
20
22
0
04 Mar 2022
Detecting and Learning the Unknown in Semantic Segmentation
Detecting and Learning the Unknown in Semantic Segmentation
Robin Shing Moon Chan
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
UQCV
30
5
0
17 Feb 2022
Continual Attentive Fusion for Incremental Learning in Semantic
  Segmentation
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Hao Tang
Xavier Alameda-Pineda
Elisa Ricci
CLL
38
22
0
01 Feb 2022
Modeling the Background for Incremental and Weakly-Supervised Semantic
  Segmentation
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
36
8
0
31 Jan 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
36
18
0
04 Jan 2022
Weakly-supervised continual learning for class-incremental segmentation
Weakly-supervised continual learning for class-incremental segmentation
Gaston Lenczner
Adrien Chan-Hon-Tong
Nicola Luminari
Bertrand Le Saux
CLL
15
4
0
04 Jan 2022
A Contrastive Distillation Approach for Incremental Semantic
  Segmentation in Aerial Images
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
Edoardo Arnaudo
Fabio Cermelli
A. Tavera
Claudio Rossi
Barbara Caputo
CLL
21
9
0
07 Dec 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
39
4
0
23 Nov 2021
Targeted Gradient Descent: A Novel Method for Convolutional Neural
  Networks Fine-tuning and Online-learning
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning
Junyu Chen
E. Asma
Chung Chan
31
4
0
29 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased
  Semantic Segmentation
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation
Shuang He
Xia Lu
J. Gu
Haitong Tang
Qin Yu
Kaiyue Liu
H. Ding
Chunqi Chang
Ni-zhuan Wang
47
15
0
19 Sep 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
27
40
0
08 Aug 2021
Tackling Catastrophic Forgetting and Background Shift in Continual
  Semantic Segmentation
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
30
21
0
29 Jun 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic
  Segmentation
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang
Wentian Hao
Xinggang Wang
Mingyuan Tao
Jianqiang Huang
Wenyu Liu
Xiansheng Hua
CLL
27
12
0
02 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
52
130
0
01 Apr 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
43
138
0
10 Mar 2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled
  Datasets
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
Pengbo Liu
Li Xiao
S. Kevin Zhou
CLL
20
12
0
08 Mar 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
31
0
0
16 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
28
54
0
06 Dec 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
37
666
0
28 Oct 2020
Interactive Learning for Semantic Segmentation in Earth Observation
Interactive Learning for Semantic Segmentation in Earth Observation
Gaston Lenczner
Adrien Chan-Hon-Tong
Nicola Luminari
Bertrand Le Saux
G. L. Besnerais
16
11
0
23 Sep 2020
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews,
  Guidances and Million-AID
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
Yang Long
Guisong Xia
Shengyang Li
Wen Yang
M. Yang
Xiaoxiang Zhu
Liangpei Zhang
Deren Li
23
21
0
22 Jun 2020
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain
  Adaptation for Semantic Segmentation of Satellite Images
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images
O. Tasar
A. Giros
Y. Tarabalka
Pierre Alliez
Sebastien Clerc
19
51
0
13 May 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither
  Old Data Nor Old Labels
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Marvin Klingner
Andreas Bär
Philipp Donn
Tim Fingscheidt
CLL
24
45
0
12 May 2020
Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining How Deep Neural Networks Forget by Deep Visualization
Giang Nguyen
Shuan Chen
Tae Joon Jun
Daeyoung Kim
AAML
16
10
0
03 May 2020
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of
  Very High Resolution Satellite Images by Data Standardization
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
O. Tasar
Y. Tarabalka
A. Giros
Pierre Alliez
Sebastien Clerc
22
56
0
14 Apr 2020
SemI2I: Semantically Consistent Image-to-Image Translation for Domain
  Adaptation of Remote Sensing Data
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
O. Tasar
S. Happy
Y. Tarabalka
Pierre Alliez
TTA
GAN
16
23
0
14 Feb 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
24
277
0
03 Feb 2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep
  Visualization
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen
Shuan Chen
T. Do
Tae Joon Jun
Ho-Jin Choi
Daeyoung Kim
19
10
0
06 Jan 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
98
0
08 Nov 2019
ContCap: A scalable framework for continual image captioning
ContCap: A scalable framework for continual image captioning
Giang Nguyen
Tae Joon Jun
T. Tran
Tolcha Yalew
Daeyoung Kim
VLM
CLL
19
10
0
19 Sep 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSeg
CLL
VLM
15
233
0
31 Jul 2019
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation
  Using Color Mapping Generative Adversarial Networks
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
O. Tasar
S. Happy
Y. Tarabalka
Pierre Alliez
GAN
13
111
0
30 Jul 2019
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