What Affects Learned Equivariance in Deep Image Recognition Models? von Bruintjes, Robert-Jan, Motyka, Tomasz, van Gemert, Jan

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Color Equivariant Convolutional Networks von Lengyel, Attila, Strafforello, Ombretta, Bruintjes, Robert-Jan, Gielisse, Alexander, van Gemert, Jan

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VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

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Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models von Warchocki, Jan, Oprescu, Teodor, Wang, Yunhan, Damacus, Alexandru, Misterka, Paul, Bruintjes, Robert-Jan, Lengyel, Attila, Strafforello, Ombretta, van Gemert, Jan

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VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

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Domain Adaptation for Rare Classes Augmented with Synthetic Samples von Das, Tuhin, Bruintjes, Robert-Jan, Lengyel, Attila, van Gemert, Jan, Beery, Sara

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VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Lengyel, Attila, Bruintjes, Robert-Jan, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

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VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, van Gemert, Jan

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What Affects Learned Equivariance in Deep Image Recognition Models? von Robert-Jan Bruintjes, Motyka, Tomasz, Jan van Gemert

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FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes von Romero, David W, Bruintjes, Robert-Jan, Tomczak, Jakub M, Bekkers, Erik J, Hoogendoorn, Mark, van Gemert, Jan C

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Color Equivariant Convolutional Networks von Lengyel, Attila, Strafforello, Ombretta, Robert-Jan Bruintjes, Gielisse, Alexander, Jan van Gemert

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VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Robert-Jan Bruintjes, Lengyel, Attila, Marcos Baptista Rios, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, Jan van Gemert

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Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models von Warchocki, Jan, Oprescu, Teodor, Wang, Yunhan, Damacus, Alexandru, Misterka, Paul, Robert-Jan Bruintjes, Lengyel, Attila, Strafforello, Ombretta, Jan van Gemert

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VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Robert-Jan Bruintjes, Lengyel, Attila, Marcos Baptista Rios, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, Jan van Gemert

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Domain Adaptation for Rare Classes Augmented with Synthetic Samples von Das, Tuhin, Robert-Jan Bruintjes, Lengyel, Attila, Jan van Gemert, Beery, Sara

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FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes von Romero, David W, Robert-Jan Bruintjes, Tomczak, Jakub M, Bekkers, Erik J, Hoogendoorn, Mark, van Gemert, Jan C

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VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Robert-Jan Bruintjes, Lengyel, Attila, Marcos Baptista Rios, Kayhan, Osman Semih, Jan van Gemert

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VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges von Lengyel, Attila, Robert-Jan Bruintjes, Marcos Baptista Rios, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, Jan van Gemert

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Practical applicability of the STAMCO and ChOLE classification in cholesteatoma care von ten Tije, Fleur A., Merkus, Paul, Buwalda, Joeri, Blom, Henk M., Kramer, Sophia E., Pauw, Robert Jan

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