ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few-Shot Learning

Humans can inherently recognize various objects and gestures either from very few examples or from their descriptions. However, supervised gesture classification methods require hundreds of examples to learn to classify, and cannot rapidly generalize from either few examples or from their high-level descriptions. This gap can be bridged using few-shot (FSL) and zero-shot (ZSL) learning methods (jo...