3rd International Workshop on Reproducible Research in Pattern Recognition (RRPR 2021) | www.gmachineinfo.com

会议文集

文集名	Reproducible Research in Pattern Recognition
会议名	3rd International Workshop on Reproducible Research in Pattern Recognition (RRPR 2021)
中译名	《第三届国际模式识别中的可重复性研究讨论会》
机构	International Association for Pattern Recognition (IAPR)
会议日期	January 11, 2021
会议地点	Online
出版年	2021
馆藏号	339601

题名	作者	出版年
Openly Teaching and Structuring Machine Learning Reproducibility	Burak Yildiz; Hayley Hung; Jesse H. Krijthe; Cynthia C. S. Liem; Marco Loog; Gosia Migut; Frans A. Oliehoek; Annibale Panichella; Przemyslaw Pawelczak; Stjepan Picek; Mathijs de Weerdt; Jan van Gemert	2021
Reproducibility: Evaluating the Evaluations	Daniel Lopresti; George Nagy	2021
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation	Yoshitomo Matsubara	2021
Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection	Devashish Lohani; Carlos Crispim-Junior; Quentin Barthelemy; Sarah Bertrand; Lionel Robinault; Laure Tougne	2021
Creating Emotion Recognition Algorithms Based on a Convolutional Neural Network for Sentiment Analysis	Vera Ivanyuk; Ekaterina Tsapina	2021
Tree Defect Segmentation Using Geometric Features and CNN	Florian Delconte; Phuc Ngo; Isabelle Debled-Rennesson; Bertrand Kerautret; Van-Tho Nguyen; Thiery Constant	2021
Pith Estimation on Tree Log End Images	Remi Decelle; Phuc Ngo; Isabelle Debled-Rennesson; Frederic Mothe; Fleur Longuetaud	2021
Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters	Jonas Lamy; Bertrand Kerautret; Odyssee Merveille; Nicolas Passat	2021
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes	Federico Bolelli; Stefano Allegretti; Costantino Grana	2021
On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation	Martin Kolarik; Radim Burget; Carlos M. Travieso-Gonzalez; Jan Kocica	2021
Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors	Yuki Inoue	2021
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks	Giosue Cataldo Marino; Gregorio Ghidoli; Marco Frasca; Dario Malchiodi	2021
Implementation of Genetic Pseudo Rehearsal	Bhasker Sri Harsha Suri; Kalidas Yeturu	2021