Self-Training for Class-Incremental Semantic Segmentation (original) (raw)

Domain Adaptive Semantic Segmentation via Entropy-Ranking and Uncertain Learning-Based Self-Training

IEEE/CAA J. Autom. Sinica

IEEE/CAA Journal of Automatica Sinica, 2022

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Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

Joost van de Weijer

arXiv (Cornell University), 2022

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Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation

zhihe lu

arXiv (Cornell University), 2023

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Class-incremental Learning via Deep Model Consolidation

Shalini Ghosh

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020

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RECALL: Replay-based Continual Learning in Semantic Segmentation

Andrea Maracani

ArXiv, 2021

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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

Minh Hieu Vu

IEEE Transactions on Medical Imaging, 2021

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CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning

Fayao Liu

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019

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Weakly-Supervised Continual Learning for Class-Incremental Segmentation

Nicola Luminari

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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Class-incremental learning: survey and performance evaluation

Joost van de Weijer

arXiv (Cornell University), 2020

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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

Joost van de Weijer

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Self-Improving Generative Artificial Neural Network for Pseudo-Rehearsal Incremental Class Learning

Diego Mellado

2019

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ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations

Mohammad Sabokrou

2021

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Semantic Drift Compensation for Class-Incremental Learning

Joost van de Weijer

2020

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Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching

Lechao Cheng

arXiv (Cornell University), 2021

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CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Yu-Wing Tai

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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End-to-End Incremental Learning

Francisco Castro

Computer Vision – ECCV 2018, 2018

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State of the Art Techniques to Advance Deep Networks for Semantic Segmentation

shanu sharma

U.Porto Journal of Engineering

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Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

Jesus Aguirre

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

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Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation

shubhankar borse

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes

Bin-Bin Gao

ArXiv, 2021

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Semantic Segmentation from Limited Training Data

Juxi Leitner

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Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence

dahyun kim

arXiv (Cornell University), 2019

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On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation

Arantxa Casanova

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018

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ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Himalaya Jain

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019

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Tackling the Problem of Limited Data and Annotations in Semantic Segmentation

Ahmadreza Jeddi

arXiv (Cornell University), 2020

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Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

Jianbing Shen

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Semi-Supervised Semantic Segmentation With Cross-Consistency Training

Yassine Ouali

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

marco matteo Ciccone

2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016

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Cross-Loss Pseudo Labeling for Semi-Supervised Segmentation

Jae-Pil Heo

IEEE Access

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An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks

sharat gujamagadi

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021

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Semantic Segmentation Datasets for Resource Constrained Training

ashutosh mishra

Communications in Computer and Information Science, 2020

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InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization

Robert Harb

Lecture Notes in Computer Science, 2021

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