Abstract
Following the fourth edition of the workshop on Reproducible Research in Pattern Recognition (RRPR) at the International Conference on Pattern Recognition (ICPR), this paper reports the main discussions that were held during and after the workshop. In particular, the integration of reproducible research inside an international conference was the first main axis of reflection. Further discussions addressed the ways of initiating or imposing reproducible research, as well as the problem of performance comparisons of published research papers that emerges due to the fact that the reported results are often based on different implementations and datasets.
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Notes
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Source: https://github.com/lixin4ever/Conference-Acceptance-Rate (accessed on 2 April 2023).
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However, for GPT-4 [19], OpenAI published the evaluation code, which makes comparison with their claimed results easy.
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Kerautret, B., Kirchheim, K., Lopresti, D., Ngo, P., Tomaszewska, P. (2023). Promoting Reproducibility of Research Results in International Events (Report from the \(4^{th}\) RRPR). In: Kerautret, B., Colom, M., Krähenbühl, A., Lopresti, D., Monasse, P., Perret, B. (eds) Reproducible Research in Pattern Recognition. RRPR 2022. Lecture Notes in Computer Science, vol 14068. Springer, Cham. https://doi.org/10.1007/978-3-031-40773-4_9
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