2019
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
ICCV 2019poster
Recognizing visual unseen classes, i.e. for which no training data is available, is known as Zero Shot Learning (ZSL). Some of the best performing methods apply the triplet loss to seen classes to learn a mapping between visual representations of images and attribute vectors that constitute class pr…