no code implementations • 26 Apr 2022 • Mengmeng Xu, Erhan Gundogdu, Maksim Lapin, Bernard Ghanem, Michael Donoser, Loris Bazzani
Long-form video understanding requires designing approaches that are able to temporally localize activities or language.
Contrastive Learning Few Shot Temporal Action Localization +3
1 code implementation • 12 Dec 2016 • Maksim Lapin, Matthias Hein, Bernt Schiele
In particular, we find that it is possible to obtain effective multilabel classifiers on Pascal VOC using a single label per image for training, while the gap between multiclass and multilabel methods on MS COCO is more significant.
1 code implementation • CVPR 2016 • Maksim Lapin, Matthias Hein, Bernt Schiele
In the experiments, we compare on various datasets all of the proposed and established methods for top-k error optimization.
1 code implementation • NeurIPS 2015 • Maksim Lapin, Matthias Hein, Bernt Schiele
Class ambiguity is typical in image classification problems with a large number of classes.
no code implementations • NeurIPS 2015 • Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
The paradigm of multi-task learning is that one can achieve better generalization by learning tasks jointly and thus exploiting the similarity between the tasks rather than learning them independently of each other.
no code implementations • CVPR 2014 • Maksim Lapin, Bernt Schiele, Matthias Hein
The underlying idea of multitask learning is that learning tasks jointly is better than learning each task individually.
no code implementations • 13 Jun 2013 • Maksim Lapin, Matthias Hein, Bernt Schiele
Prior knowledge can be used to improve predictive performance of learning algorithms or reduce the amount of data required for training.