Maxime Bucher | DeepAI

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∙ 04/02/2020

BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation

In this work, we define and address "Boundless Unsupervised Domain Adapt...

5 Maxime Bucher, et al. ∙

∙ 06/03/2019

Zero-Shot Semantic Segmentation

Semantic segmentation models are limited in their ability to scale to la...

0 Maxime Bucher, et al. ∙

∙ 04/03/2019

DADA: Depth-aware Domain Adaptation in Semantic Segmentation

Unsupervised domain adaptation (UDA) is important for applications where...

0 Tuan-Hung Vu, et al. ∙

∙ 11/30/2018

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Semantic segmentation is a key problem for many computer vision tasks. W...

8 Tuan-Hung Vu, et al. ∙

∙ 11/06/2018

Semantic bottleneck for computer vision tasks

This paper introduces a novel method for the representation of images th...

4 Maxime Bucher, et al. ∙

∙ 08/23/2017

Generating Visual Representations for Zero-Shot Classification

This paper addresses the task of learning an image clas-sifier when some...

0 Maxime Bucher, et al. ∙

∙ 08/26/2016

Hard Negative Mining for Metric Learning Based Zero-Shot Classification

Zero-Shot learning has been shown to be an efficient strategy for domain...

0 Maxime Bucher, et al. ∙

∙ 07/27/2016

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification

This paper addresses the task of zero-shot image classification. The key...

0 Maxime Bucher, et al. ∙

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