Shape Matters: Few-Shot Object Classification From High-Information Contour Features.
This work proposes a biologically inspired model that addresses both issues by classifying images based on transformation-invariant local shape key features, demonstrating strong robustness and greater capacity to generalize to unseen distributions, bringing it closer to human-like recognition capabilities.