Diverse layout-plus-prompt conditioning of diffusion models generates synthetic data that improves few-shot object detection mAP by up to 177% over real-data-only training, while prompt-only conditioning wins when conditions are scarce.
Label-efficient se- mantic segmentation with diffusion models, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Understanding Trade offs When Conditioning Synthetic Data
Diverse layout-plus-prompt conditioning of diffusion models generates synthetic data that improves few-shot object detection mAP by up to 177% over real-data-only training, while prompt-only conditioning wins when conditions are scarce.