Sep 25, 2020 · Each coral was annotated with expert level knowledge, including segmentation mask, bounding box, and class that represents 1 out of 13 substrate ...
An automatic system for detection, classification and segmentation of individual coral substrates in under-water images based on Mask R-CNN object detection ...
The system is based on Mask R-CNN object detection and instance segmentation framework boosted by advanced training strategies, pseudo-labeling, test-time ...
Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks ; Anthology ID: DBLP:conf/clef/PicekRZ20; Volume: ; Year: 2020 ...
Copyright © 2020 for the individual papers by the ... Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks.
Abstract. This paper describes the methods that were used for annotation, localization and pixel-wise parsing of the coral reefs from underwater images.
Missing: Classification Tricks.
Coral Reef annotation, localisation and pixel-wise classification using Mask R-CNN and Bag of Tricks. L Picek, A Říha, A Zita. CEUR, 2020. 5, 2020. Sketch2Code ...
In the study of coral detection and segmentation, Picek et al. [29] utilized Mask R-CNN and Bag of Tricks to annotate, localize, and classify coral reefs on a ...
May 31, 2024 · Picek, A. Říha, and A. Zita, “Coral Reef annotation, localisation and pixel-wise classification using Mask R-CNN and Bag of Tricks”.
Apr 25, 2024 · Lukás Picek, Antonín Ríha, Ales Zita: Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks.