Jan 13, 2017 · In this paper, we propose a novel active learning framework, which is capable of building a competitive classifier with optimal feature ...
In this paper, we propose a novel active learning (AL) framework, which is capable of building a competitive classifier with optimal feature representation via ...
In this paper, we propose a novel active learning (AL) framework, which is capable of building a competitive classifier with optimal feature representation via ...
CEAL. Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper. Difference from the original paper.
This paper proposes a novel active learning (AL) framework, which is capable of building a competitive classifier with optimal feature representation via a ...
training samples, which may require considerable human efforts. In this paper, we propose a novel active learning framework, which is capable of building a ...
Oct 22, 2024 · In this paper, we propose a novel active learning framework, which is capable of building a competitive classifier with optimal feature ...
In this paper, we present a framework using active learning and deep learning for multichannel image classification.
Dec 13, 2018 · The paper proposes a novel method CEAL through which CNN's and AL can be combined to achieve similar accuracy with less training examples.
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CEAL. The code is unofficial for {. Cost-Effective Active Learning for Deep Image Classification. Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin.