| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Lu Yu; Vacit Oguz Yazici; Xialei Liu; Joost Van de Weijer; Yongmei Cheng; Arnau Ramisa |
Learning Metrics from Teachers: Compact Networks for Image Embedding |
2019 |
32nd IEEE Conference on Computer Vision and Pattern Recognition |
|
2907-2916 |
| A. Martinez; Jordi Vitria |
Learning mixture models using a genetic version of the EM algorithm. |
2000 |
Pattern Recognition Letters |
21 |
759–769 |
| A. Martinez; Jordi Vitria |
Learning mixture models with the EM algorithm and genetic algorithms |
1998 |
CVC Technical Report #23 |
|
|
| Lorenzo Porzi; Markus Hofinger; Idoia Ruiz; Joan Serrat; Samuel Rota Bulo; Peter Kontschieder |
Learning Multi-Object Tracking and Segmentation from Automatic Annotations |
2020 |
33rd IEEE Conference on Computer Vision and Pattern Recognition |
|
6845-6854 |
| Javier Rodenas; Bhalaji Nagarajan; Marc Bolaños; Petia Radeva |
Learning Multi-Subset of Classes for Fine-Grained Food Recognition |
2022 |
7th International Workshop on Multimedia Assisted Dietary Management |
|
17–26 |
| Ernest Valveny; Enric Marti |
Learning of structural descriptions of graphic symbols using deformable template matching |
2001 |
Proc. Sixth Int Document Analysis and Recognition Conf |
|
455-459 |
| Jose Manuel Alvarez; Theo Gevers; Antonio Lopez |
Learning photometric invariance for object detection |
2010 |
International Journal of Computer Vision |
90 |
45-61 |
| Jose Manuel Alvarez; Theo Gevers; Antonio Lopez |
Learning Photometric Invariance from Diversified Color Model Ensembles |
2009 |
22nd IEEE Conference on Computer Vision and Pattern Recognition |
|
565–572 |
| I. Sorodoc; S. Pezzelle; A. Herbelot; Mariella Dimiccoli; R. Bernardi |
Learning quantification from images: A structured neural architecture |
2018 |
Natural Language Engineering |
24 |
363-392 |
| Lei Kang; Lichao Zhang; Dazhi Jiang |
Learning Robust Self-Attention Features for Speech Emotion Recognition with Label-Adaptive Mixup |
2023 |
IEEE International Conference on Acoustics, Speech and Signal Processing |
|
|
| Hana Jarraya; Oriol Ramos Terrades; Josep Llados |
Learning structural loss parameters on graph embedding applied on symbolic graphs |
2017 |
12th IAPR International Workshop on Graphics Recognition |
|
|
| Jaume Gibert |
Learning structural representations and graph matching paradigms in the context of object recognition |
2009 |
CVC Technical Report |
143 |
|
| Jose Marone; Simone Balocco; Marc Bolaños; Jose Massa; Petia Radeva |
Learning the Lumen Border using a Convolutional Neural Networks classifier |
2016 |
19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshop |
|
|
| Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan |
Learning the Model Update for Siamese Trackers |
2019 |
18th IEEE International Conference on Computer Vision |
|
4009-4018 |
| Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
|
|
