no code implementations • 9 Jun 2020 • Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust
The results showcase an improvement of 2. 63 and 3. 29 in Recall@1 with respect to MultiSimilarity and Proxy-Anchor Loss respectively, proving that our method outperforms the state-of-the-art of Metric Learning in noisy labeling conditions.
no code implementations • 12 May 2020 • Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust
This paper presents a system towards the generation of multi-label datasets from web data in an unsupervised manner.
1 code implementation • 9 Oct 2016 • Issey Masuda, Santiago Pascual de la Puente, Xavier Giro-i-Nieto
This thesis report studies methods to solve Visual Question-Answering (VQA) tasks with a Deep Learning framework.