High precision leaf instance segmentation for phenotyping in point clouds obtained under real field conditions
Measuring plant traits with high throughput allows breeders to monitor and select the best
cultivars for subsequent breeding generations. This can enable farmers to improve yield to …
cultivars for subsequent breeding generations. This can enable farmers to improve yield to …
Inod: Injected noise discriminator for self-supervised representation learning in agricultural fields
Perception datasets for agriculture are limited both in quantity and diversity which hinders
effective training of supervised learning approaches. Self-supervised learning techniques …
effective training of supervised learning approaches. Self-supervised learning techniques …
A Context-Enhanced Full-Resolution Floor Plan Segmentation Network for Topological Semantic Mapping
Topological semantic maps provide a practical solution to enhance indoor navigation for the
Partially Sighted or Visually Impaired (PSVI). Segmenting indoor floor plans and extracting …
Partially Sighted or Visually Impaired (PSVI). Segmenting indoor floor plans and extracting …
Enhancing Domain Generalization in Crop and Weed Segmentation via Entropy Minimization
DMS Arsa, H Kim, DS Park, SC Kim… - … of Computer and …, 2024 - ieeexplore.ieee.org
Weeds pose a significant threat to crops and must be effectively managed. Manual weed
management is labour intensive and time-consuming, underscoring the need for efficient …
management is labour intensive and time-consuming, underscoring the need for efficient …
[PDF][PDF] Self-Supervised Learning for Semantic Segmentation of Images
CA Chamberlain - 2023 - harvest.usask.ca
Artificial Neural Networks (ANN) are powerful Machine Learning (ML) models that can help
solve problems that are hard or even impossible to design solutions for by hand. These …
solve problems that are hard or even impossible to design solutions for by hand. These …