Integration of object detection and semantic segmentation based on convolutional neural networks for navigation and monitoring of cyanobacterial blooms in lentic water scenes.
Fredy Barrientos-EspillcoMaría José Gómez-SilvaEva Besada-PortasGonzalo PajaresPublished in: Appl. Soft Comput. (2024)
Keyphrases
- semantic segmentation
- object detection
- pascal voc
- convolutional neural networks
- object categories
- object class
- water quality
- computer vision
- superpixels
- object classes
- conditional random fields
- object segmentation
- object recognition
- object classification
- weakly supervised
- image understanding
- face detection
- label transfer
- bag of words
- scene understanding
- coarse to fine
- multi class
- bayesian networks
- multiple objects
- background subtraction
- multiscale
- bounding box
- pedestrian detection
- object detectors
- natural scenes
- natural images
- image registration
- image retrieval