BENCHMARKING STATE-OF-THE-ART FEW-SHOT LEARNING ALGORITHMS FOR VISUAL-BASED PILL DETECTION
Published in preprint, 2022
Recommended citation: Nhat Huy Phan, et al. (2022). Benchmarking State-of-the-Art Few-shot Learning Algorithms for Visual-Based Pill Detection http://huyphan168.github.io/files/paper1.pdf
This paper is about building new benchmark of few-shot learning in medical pill detection problem and a new baseline based on low-rank approximation in Faster-RCNN.