Revisiting pretraining for semi-supervised learning in the low-label regime.
Neurocomputing, January, 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection.
CoRR, 2024
Diverse and consistent multi-view networks for semi-supervised regression.
Mach. Learn., July, 2023
On Adversarial Robustness of Audio Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2023
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.
IEEE Trans. Image Process., 2022
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.
CoRR, 2022
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime.
CoRR, 2022
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition.
CoRR, 2021
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity.
Proceedings of the 9th International Conference on Learning Representations, 2021
Semi-Supervised Audio Classification with Consistency-Based Regularization.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Dual-Resolution U-Net: Building Extraction from Aerial Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018