Before-after supervision from human removal actions can train a segmentation model for unwanted-object detection in waste sorting, and the authors release an 11,060-frame dataset to benchmark this setting.
Zerowaste dataset: To- wards deformable object segmentation in cluttered scenes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
Before-after supervision from human removal actions can train a segmentation model for unwanted-object detection in waste sorting, and the authors release an 11,060-frame dataset to benchmark this setting.