6 citations · 6 across the 3 of their papers we have counts for
5 papers
ReLEAP: Upcycling Vision Datasets through Cross-Task Unification and Semi-Supervised Annotation
Julia Simon, Daniel Steininger, Andreas Trondl
Developing robust vision models requires large amounts of annotated data, especially for tasks involving fine-grained class distinctions under variable environmental conditions. Ev…
RootDown: Deploying and Benchmarking Models for Beet-Root Detection on Edge Devices
Gerardus Croonen, Andreas Trondl, Julia Simon +1
Quality inspection of sugar beets after harvest and storage is critical to preserve sugar content and ensure optimal processing efficiency. The transfer of harvested beets to field…
ReLeaf: Benchmarking Leaf Segmentation across Domains and Species
Robert Martinko, Daniel Steininger, Julia Simon +2
Rising global food demand and growing climate pressure increase the need for sustainable, precise agricultural practices. Automated, individualized plant treatment relies on fine-g…
SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets
Gerardus Croonen, Andreas Trondl, Julia Simon +1
While sugar beets are stored prior to processing, they lose sugar due to factors such as microorganisms present in adherent soil and excess vegetation. Their automated visual inspe…
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
Daniel Steininger, Julia Simon, Andreas Trondl +1
Timber represents an increasingly valuable and versatile resource. However, forestry operations such as harvesting, handling and measuring logs still require substantial human labo…