@misc{10481/82865,
year = {2023},
month = {4},
url = {https://hdl.handle.net/10481/82865},
organization = {National Science Foundation,
United States [grant numbers CMMI, 1826218},
organization = {Air Force
D3OM2S Center of Excellence [grant number FA8650-19-2-5209]},
organization = {Spanish Ministry of Science and
Innovation, the Andalusian Government},
organization = {European Regional Development
Funds (ERDF)},
organization = {CONFIA (PID2021-122916NB-I00},
organization = {FORAGE (B-TIC-456-UGR20)},
keywords = {Semantic segmentation},
keywords = {Unsupervised learning},
keywords = {Weakly Supervised Learning},
keywords = {Deep convolutional neural networks},
title = {Exploring the trade-off between performance and annotation complexity in semantic segmentation},
doi = {10.1016/j.engappai.2023.106299},
author = {Fernández Moreno, Marta and Lei, Bo and Holm, Elizabeth A and Mesejo Santiago, Pablo and Moreno, Raúl},
}