(2015) used labeled images from the Web to learn bilingual lexicons based on visual features, with features derived from deep convolutional neural networks (CNNs) leading to the best results (Kiela et al., 2015).
the ID-weighted BLL models reach (near-)optimal BLL results across a variety of language-vision combinations without any fine-tuning.