On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification

arXiv:2403.12606v1 Announce Type: new
Abstract: In this contribution, we introduce a novel ensemble method for the re-identification of industrial entities, using images of chipwood pallets and galvanized metal plates as dataset examples. Our algorithms replace commonly used, complex siamese neural networks with an ensemble of simplified, rudimentary models, providing wider applicability, especially in hardware-restricted scenarios. Each ensemble sub-model uses different types of extracted features of the given data as its input, allowing for the creation of effective ensembles in a …

abstract algorithms arxiv cs.lg dataset ensemble examples identification images industrial metal networks neural networks novel simplified type