Schaub-Meyer, Simone

1. FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
   2023/08/11 by Robin Hesse, Hesse, Robin, Simone Schaub-Meyer +3 · 7 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
   2024/05/30 by Krishnakant Singh, Singh, Krishnakant, Thanush Navaratnam +7 · 9 citations
   Computer Science · Earth and Planetary Sciences · Environmental Science · #3D Surveying and Cultural Heritage #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Remote Sensing and LiDAR Applications
3. Dense Unsupervised Learning for Video Segmentation
   2021/11/11 by Nikita Araslanov, Simone Schaub-Meyer, Araslanov, Nikita +3 · 3 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
4. Fast Axiomatic Attribution for Neural Networks
   2021/11/15 by Hesse, Robin, Schaub-Meyer, Simone, Roth, Stefan · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
   2024/07/25 by Krishnakant Singh, Simone Schaub-Meyer, Singh, Krishnakant +3 · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Disentangling Polysemantic Channels in Convolutional Neural Networks
   2025/04/17 by Robin Hesse, Jonas Fischer, Hesse, Robin +5 · 1 voice · 3 citations
   #cs.CV #cs.LG
7. Content-Adaptive Downsampling in Convolutional Neural Networks
   2023/05/16 by Hesse, Robin, Schaub-Meyer, Simone, Roth, Stefan · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Efficient Feature Extraction for High-resolution Video Frame Interpolation
   2022/11/25 by Nottebaum, Moritz, Roth, Stefan, Schaub-Meyer, Simone · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
9. Benchmarking the Attribution Quality of Vision Models
   2024/07/16 by Robin Hesse, Hesse, Robin, Simone Schaub-Meyer +3 · 1 voice · 1 citation
   #cs.CV #cs.LG
10. Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
    2025/03/21 by Robin Hesse, Hesse, Robin, Doğukan Bağcı +7 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Image and Video Quality Assessment
11. Continual Learning Should Move Beyond Incremental Classification
    2025/02/17 by Rupert Mitchell, Mitchell, Rupert, Antonio Alliegro +40 · 1 voice · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification
12. Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
    2025/09/02 by Gong, Xinrui, Hahn, Oliver, Reich, Christoph +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences