| Title: | Automatic Coral Detection using Neural Networks |
| Other Titles: | Automatická detekce korálů pomocí konvolučních neuronových sítí |
| Authors: | Gruber, Ivan Straka, Jakub |
| Citation: | GRUBER, I. STRAKA, J. Automatic Coral Detection using Neural Networks. In CLEF 2020 Working Notes. Thessaloniki: CEUR Workshop Proceedings, 2020. s. nestránkováno. ISBN: neuvedeno , ISSN: 1613-0073 |
| Issue Date: | 2020 |
| Publisher: | CEUR Workshop Proceedings |
| Document type: | konferenční příspěvek ConferenceObject |
| URI: | 2-s2.0-85121773453 http://hdl.handle.net/11025/47232 |
| ISBN: | neuvedeno |
| ISSN: | 1613-0073 |
| Keywords: | Detekce objektů;sémantická segmentace;lokalizace korálů;konvoluční neuronové sítě;strojové učení |
| Keywords in different language: | Object detection;Semantic segmentation;Coral localization;Convolutional neural networks;Machine learning |
| Abstract in different language: | This paper presents methods that were utilized in the ImageCLEFcoral 2020 challenge. The challenge contains two following subtasks: automatic coral reef annotation and localization, and automatic coral reef image pixel-wise parsing. In the first subtask, we tested two methods - SSD, and Mask R-CNN. In the second subtask, we tested only Mask R-CNN. Performance improvements were achieved by careful cleaning of the dataset and by both offline and online data augmentations. |
| Rights: | © authors |
| Appears in Collections: | Konferenční příspěvky / Conference papers (NTIS) OBD |
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| File | Size | Format | |
|---|---|---|---|
| paper_63.pdf | 7,35 MB | Adobe PDF | View/Open |
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