Claudio Michaelis | DeepAI

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∙ 11/09/2020

Closing the Generalization Gap in One-Shot Object Detection

Despite substantial progress in object detection and few-shot learning, ...

0 Claudio Michaelis, et al. ∙

∙ 04/16/2020

Shortcut Learning in Deep Neural Networks

Deep learning has triggered the current rise of artificial intelligence ...

3 Robert Geirhos, et al. ∙

∙ 12/07/2019

Optimizing Rank-based Metrics with Blackbox Differentiation

Rank-based metrics are some of the most widely used criteria for perform...

18 Michal Rolinek, et al. ∙

∙ 07/17/2019

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

The ability to detect objects regardless of image distortions or weather...

4 Claudio Michaelis, et al. ∙

∙ 11/29/2018

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Convolutional Neural Networks (CNNs) are commonly thought to recognise o...

14 Robert Geirhos, et al. ∙

∙ 11/28/2018

One-Shot Instance Segmentation

We tackle one-shot visual search by example for arbitrary object categor...

16 Claudio Michaelis, et al. ∙

∙ 07/07/2018

One-shot Texture Segmentation

We introduce one-shot texture segmentation: the task of segmenting an in...

0 Ivan Ustyuzhaninov, et al. ∙

∙ 03/26/2018

One-Shot Segmentation in Clutter

We tackle the problem of one-shot segmentation: finding and segmenting a...

0 Claudio Michaelis, et al. ∙

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