Litter segmentation with LOTS dataset

Author:

Barra Paola1ORCID,Orefice Giosuè2ORCID,Auriemma Citarella Alessia3ORCID,Castrillón-Santana Modesto Fernando4ORCID,Ciaramella Angelo2ORCID

Affiliation:

1. Department of Science and Technology, Università di Napoli Parthenope, Italy

2. Università di Napoli Parthenope, Italy

3. Università degli studi di Salerno, Italy

4. Universidad de Las Palmas de Gran Canaria, Italy

Publisher

ACM

Reference18 articles.

1. Rahmi Arda Aral , Şeref Recep Keskin , Mahmut Kaya , and Murat Hacıömeroğlu . 2018 . Classification of TrashNet Dataset Based on Deep Learning Models. In 2018 IEEE International Conference on Big Data (Big Data). 2058–2062 . https://doi.org/10.1109/BigData.2018.8622212 10.1109/BigData.2018.8622212 Rahmi Arda Aral, Şeref Recep Keskin, Mahmut Kaya, and Murat Hacıömeroğlu. 2018. Classification of TrashNet Dataset Based on Deep Learning Models. In 2018 IEEE International Conference on Big Data (Big Data). 2058–2062. https://doi.org/10.1109/BigData.2018.8622212

2. Accumulation and fragmentation of plastic debris in global environments

3. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

4. Detection of Seashore Debris with Fixed Camera Images using Computer Vision and Deep learning

5. Gwanghee Lee and Kyoungson Jhang . 2021. Neural Network Analysis for Microplastic Segmentation. Sensors 21, 21 ( 2021 ). https://doi.org/10.3390/s21217030 10.3390/s21217030 Gwanghee Lee and Kyoungson Jhang. 2021. Neural Network Analysis for Microplastic Segmentation. Sensors 21, 21 (2021). https://doi.org/10.3390/s21217030

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