Jhih-Yi Hsieh

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

In deep metric learning, the triplet loss has emerged as a popular method to learn many computer vision and natural language processing tasks such as facial recognition, object detection, and visual-semantic embeddings. One issue that plagues the triplet loss is network collapse, an undesirable phen…