PneumoNet uses a lightweight CNN, dual-stage balanced buffer, and dynamic class-weighted loss for domain-incremental learning on simulated PneumoniaMNIST shifts, reporting 86.6% accuracy and 1.4% forgetting.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On-Device Continual Learning with Dual-Stage Buffer and Dynamic Loss for Point-of-Care Pneumonia Diagnosis
PneumoNet uses a lightweight CNN, dual-stage balanced buffer, and dynamic class-weighted loss for domain-incremental learning on simulated PneumoniaMNIST shifts, reporting 86.6% accuracy and 1.4% forgetting.