Zero-shot learning: Using text to more accurately identify images

What this post added

Introduced a new, more accurate zero-shot learning (ZSL) model called GAZSL, which uses generative adversarial networks (GANs) to analyze text articles and visually identify objects described within them. This model extracts key visual features from text, creates synthetic visualizations, and uses these to classify objects, outperforming existing ZSL algorithms by 4-7% on average across benchmarks. The model was open-sourced.