3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 3 cited
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
Alexey Korovin, Artem Vasilyev, Fedor Egorov +5
Efficient defect detection in solar cell manufacturing is crucial for stable green energy technology manufacturing. This paper presents a deep-learning-based automatic detection mo…
cs.CL2022★ 1 cited
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin +5
Active learning (AL) is a prominent technique for reducing the annotation effort required for training machine learning models. Deep learning offers a solution for several essentia…