DaSSWeb- Data Science and Statistics Webinar
Tuesday, 8 April, 14:30 (GMT)
Speaker
Bruno Veloso
Faculdade de Economia, Universidade do Porto & LIAAD – INESC TEC, Portugal
Title:
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation
Abstract
Image segmentation for detecting illegal landfill waste in aerial images is
essential for environmental crime monitoring. Despite advancements in
segmentation models, the primary challenge in this domain is the lack of
annotated data due to the unknown locations of illegal waste disposals. This
work mainly focuses on evaluating segmentation models for identifying
individual illegal landfill waste segments using limited annotations. This
research seeks to lay the groundwork for a comprehensive model evaluation to
contribute to environmental crime monitoring and sustainability efforts by
proposing to harness the combination of agnostic segmentation and
supervised classification approaches. We mainly explore different metrics and
combinations to better understand how to measure the quality of this applied
segmentation problem.
essential for environmental crime monitoring. Despite advancements in
segmentation models, the primary challenge in this domain is the lack of
annotated data due to the unknown locations of illegal waste disposals. This
work mainly focuses on evaluating segmentation models for identifying
individual illegal landfill waste segments using limited annotations. This
research seeks to lay the groundwork for a comprehensive model evaluation to
contribute to environmental crime monitoring and sustainability efforts by
proposing to harness the combination of agnostic segmentation and
supervised classification approaches. We mainly explore different metrics and
combinations to better understand how to measure the quality of this applied
segmentation problem.
Zoom link
DaSSWeb-BrunoVeloso-8April2025.pdf