MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture.
Diogo Nunes GonçalvesJosé Marcato Jr.Pedro ZamboniHemerson PistoriJonathan LiKeiller NogueiraWesley Nunes GonçalvesPublished in: CVPR Workshops (2023)
Keyphrases
- semantic segmentation
- multi task learning
- precision agriculture
- multi task
- superpixels
- data mining
- conditional random fields
- gaussian processes
- learning tasks
- object categories
- learning problems
- scene classification
- transfer learning
- object classes
- image understanding
- multiscale
- learning algorithm
- machine learning
- information retrieval
- segmentation method
- unlabeled data
- computer vision