Vacit Oguz Yazici — accepted AI-conference papers

2020

Orderless Recurrent Models for Multi-Label Classification

Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer

CVPR 2020poster

Recurrent neural networks (RNN) are popular for many computer vision tasks, including multi-label classification. Since RNNs produce sequential outputs, labels need to be ordered for the multi-label classification task. Current approaches sort labels according to their frequency, typically ordering…

Cited by 131 PDF ↗code ↗Scholar ↗

2019

Learning Metrics From Teachers: Compact Networks for Image Embedding

Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa

CVPR 2019poster

Metric learning networks are used to compute image embeddings, which are widely used in many applications such as image retrieval and face recognition. In this paper, we propose to use network distillation to efficiently compute image embeddings with small networks. Network distillation has been suc…

Cited by 160 PDF ↗code ↗Scholar ↗