no code implementations • 29 Jun 2021 • Varsha Suresh, Gerard Yeo, Desmond C. Ong
Using a state-of-the-art model with twelve datasets (six collected in-lab and six ``in-the-wild"), we conduct extensive round-robin-style experiments to evaluate classification accuracies when given new data from an unseen dataset.