Search Results - Wiedemer, Thaddäus

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  1. 1
    Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?

    Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? by Mayilvahanan, Prasanna, Wiedemer, Thaddäus, Rusak, Evgenia, Bethge, Matthias, Brendel, Wieland

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  2. 2
    Compositional Generalization from First Principles

    Compositional Generalization from First Principles by Wiedemer, Thaddäus, Mayilvahanan, Prasanna, Bethge, Matthias, Brendel, Wieland

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  3. 3
    Provable Compositional Generalization for Object-Centric Learning

    Provable Compositional Generalization for Object-Centric Learning by Wiedemer, Thaddäus, Brady, Jack, Panfilov, Alexander, Juhos, Attila, Bethge, Matthias, Brendel, Wieland

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  4. 4
    In Search of Forgotten Domain Generalization

    In Search of Forgotten Domain Generalization by Mayilvahanan, Prasanna, Zimmermann, Roland S, Wiedemer, Thaddäus, Rusak, Evgenia, Juhos, Attila, Bethge, Matthias, Brendel, Wieland

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  5. 5
    Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images

    Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images by Wiedemer, Thaddaus, Wolf, Stefan, Schumann, Arne, Ma, Kaisheng, Beyerer, Jurgen

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  6. 6
    Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

    Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks by Wagner, Jörg, Jan Mathias Köhler, Gindele, Tobias, Hetzel, Leon, Wiedemer, Jakob Thaddäus, Behnke, Sven

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