Synthetic data augmentation improves instance segmentation performance for chicken carcasses when real annotated data is limited.
Generative adversarial networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
DGAE is a new inductive graph model using directed DEFP, latent encoding, and physics-guided pattern-specific propagation to outperform prior methods on sparse-sensor freeway traffic estimation.
citing papers explorer
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Synthetic data augmentation improves instance segmentation performance for chicken carcasses when real annotated data is limited.
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Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach
DGAE is a new inductive graph model using directed DEFP, latent encoding, and physics-guided pattern-specific propagation to outperform prior methods on sparse-sensor freeway traffic estimation.