Benchmarking Deep Clustering Algorithms on a Large-Scale Non-Categorical 3D CAD Model Dataset

This work introduces the first benchmark for evaluating deep clustering algorithms on a large-scale dataset of non-categorical 3D CAD models. The authors propose a scalable workflow to efficiently annotate pairwise similarities between 3D models, and develop a novel ensemble-based evaluation protocol to assess the performance of various deep clustering methods.