Handwritten Digit Recognition
23 papers with code • 1 benchmarks • 5 datasets
Most implemented papers
PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
We show that by using polynomial building blocks, we can achieve the same accuracy using considerably fewer layers of soft logic than by using linear functions, leading to significant latency and area improvements.
Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer Learning
In this work, we present a robust and cost-effective approach that handles multilingual handwritten numeral recognition across a wide range of languages.
Integrated Gradient Correlation: a Dataset-wise Attribution Method
Attribution methods are primarily designed to study the distribution of input component contributions to individual model predictions.