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2017-[CEAL]Cost-Effective Active Learning for Deep Image Classification
[paper]
[code][keras]
[code][pytorch]
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2017-[CEAL]Cost-Effective Active Learning for Melanoma Segmentation
[paper]
[code][keras] official
[code][keras] official
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2019-Sampling Bias in Deep Active Classification: An Empirical Study
[paper]
[code][pytorch] official
[code][python package] official
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2018-modAL: A modular active learning framework for Python
[paper]
[code][keras][python package]
[doc] -
2020 ICCT-Variational Adversarial Active Learning
[paper]
[code][pytorch] official
[code][pytorch] Sequential-GCN-for-Active-Learning
[code][pytorch] Visual-Transformer-for-Task-aware-Active-Learning
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2019-ALiPy: Active Learning in Python (A toolbox)
[paper]
[code][python package]
[doc] -
2021-Can Active Learning Preemptively Mitigate Fairness Issues?
[paper]
[code][pytorch]
[code][python package]
[doc]
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2017-[CEAL]Cost-Effective Active Learning for Melanoma Segmentation
[paper]
[code][keras] official
[code][keras] official
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2020 CVPR-ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
[paper]
[code][pytorch]
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2019-Deep Active Learning for Axon-Myelin Segmentation on Histology Data
[paper]
[code][keras] official
[code][keras]
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2020 ICLR-Reinforced active learning for image segmentation
[paper]
[code][pytorch]
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2017 MICCAI-Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
[paper] -
2012 CVPR-Active learning for semantic segmentation with expected change
[paper] -
2011 MICCAI-Active Learning for Interactive 3D Image Segmentation
[paper] -
2011 TGRS-Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
[paper]