Pill Classification
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
Identifying prescription medications is a frequent task for patients and medical professionals; however, this is an error-prone task as many pills have similar appearances (e. g. white round pills), which increases the risk of medication errors.
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition
In forward-compatible learning, we propose an innovative virtual class synthesis strategy and a Center-Triplet (CT) loss to enhance discriminative feature learning.
