DuET is an exemplar-free task-arithmetic model-merging framework that performs simultaneous class- and domain-incremental object detection, validated on YOLO11 and RT-DETR, with a new directional consistency loss and a retention-adaptability metric.
Improving single domain-generalized object detection: A focus on diversification and alignment
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
DuET is an exemplar-free task-arithmetic model-merging framework that performs simultaneous class- and domain-incremental object detection, validated on YOLO11 and RT-DETR, with a new directional consistency loss and a retention-adaptability metric.