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Matthias Bethge

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Matthias Bethge

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Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Fixing the problems of deep neural networks will require better training data and learning algorithms

Pretraining boosts out-of-domain robustness for pose estimation

Task-driven hierarchical deep neural network models of the proprioceptive pathway

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Pretraining boosts out-of-domain robustness for pose estimation

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Towards goal-driven deep neural network models to elucidate human arm proprioception

Markerless tracking of user-defined features with deep learning

Fixing the problems of deep neural networks will require better training data and learning algorithms

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Towards goal-driven deep neural network models to elucidate human arm proprioception

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Pretraining boosts out-of-domain robustness for pose estimation

Pretraining boosts out-of-domain robustness for pose estimation

Task-driven hierarchical deep neural network models of the proprioceptive pathway

Markerless tracking of user-defined features with deep learning

Using DeepLabCut for 3D markerless pose estimation across species and behaviors