30 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 30 cited
Revisiting Fine-tuning for Few-shot Learning
Akihiro Nakamura, Tatsuya Harada
Few-shot learning is the process of learning novel classes using only a few examples and it remains a challenging task in machine learning. Many sophisticated few-shot learning alg…
cs.CV2019★ 2 cited
Noise-Level Estimation from Single Color Image Using Correlations Between Textures in RGB Channels
Akihiro Nakamura, Michihiro Kobayashi
We propose a simple method for estimating noise level from a single color image. In most image-denoising algorithms, an accurate noise-level estimate results in good denoising perf…