Reproducible Research in Pattern Recognition: Third International Workshop, RRPR 2021, Virtual Event
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- Artikel-Nr.: 10429897
Beschreibung
Reproduced Papers.org: Openly Teaching and Structuring Machine Learning Reproducibility.- Reproducibility: Evaluating the Evaluations.- torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation.- Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection.- Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis.- Tree Defect Segmentation Using Geometric Features and CNN.- Pith Estimation on Tree Log End Images.- Structure and Concept of the Benchmark for Vesselness Filters with Focus on Reproducibilty and Future Evaluations.- A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes.- On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation.- Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors.- Reproducing the Sparse Huffman Address Map Compression for Deep Nural Networks.- Implementation of Genetic Pseudo Rehearsal.
Eigenschaften
Breite: | 155 |
Gewicht: | 291 g |
Höhe: | 10 |
Länge: | 235 |
Seiten: | 173 |
Sprachen: | Englisch |
Autor: | Adrien Krähenbühl, Bertrand Kerautret, Daniel Lopresti, Hugues Talbot, Miguel Colom, Pascal Monasse |