I. K

Robust Zero-Shot Learning with Distribution-Preserving Feature Generation and Bias-Calibrated Classification

The ability to recognize objects out of our environment with the use of additional information such as attribute vectors or text embeddings-this is what people call Zero-Shot Learning. Believe me, there are many more ZSL techniques that get wrong in real-life context - they're not always semantically correct with visua...