Improving semantic embedding consistency by metric learning for zero-shot classiffication M Bucher, S Herbin, F Jurie European Conference on Computer Vision, 730-746, 2016 | 120 | 2016 |
Generating visual representations for zero-shot classification M Bucher, S Herbin, F Jurie Proceedings of the IEEE International Conference on Computer Vision, 2666-2673, 2017 | 55 | 2017 |
Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 22 | 2019 |
Hard negative mining for metric learning based zero-shot classification M Bucher, S Herbin, F Jurie European Conference on Computer Vision, 524-531, 2016 | 21 | 2016 |
Zero-Shot Classification by Generating Artificial Visual Features M Bucher, S Herbin, F Jurie | 3 | 2018 |
Semantic bottleneck for computer vision tasks M Bucher, S Herbin, F Jurie Asian Conference on Computer Vision, 695-712, 2018 | 2 | 2018 |
DADA: Depth-aware Domain Adaptation in Semantic Segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez arXiv preprint arXiv:1904.01886, 2019 | 1 | 2019 |
Zero-Shot Semantic Segmentation M Bucher, TH Vu, M Cord, P Pérez arXiv preprint arXiv:1906.00817, 2019 | | 2019 |
Apprentissage et exploitation de représentations sémantiques pour la classification et la recherche d'images M Bucher | | 2018 |
Zero-Shot Semantic Segmentation (Supplementary Material) M Bucher, TH Vu, M Cord, P Pérez | | |