MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture.
Diogo Nunes GonçalvesJosé Marcato JuniorPedro ZamboniHemerson PistoriJonathan LiKeiller NogueiraWesley Nunes GonçalvesPublished in: CoRR (2023)
Keyphrases
- semantic segmentation
- multi task learning
- precision agriculture
- multi task
- data mining
- conditional random fields
- superpixels
- learning tasks
- learning problems
- gaussian processes
- scene classification
- object categories
- transfer learning
- image understanding
- object classes
- natural images
- higher order
- action recognition
- image classification
- dimensionality reduction
- bayesian networks