Post, August 7, 2026 • (National Institute of Standards and Technology) This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in...
Model Validation & Benchmarking Data
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COREVQA
Post, August 7, 2026 • (University of California, Irvine) Recently, many benchmarks and datasets have been developed to evaluate Vision-Language Models (VLMs) using visual question answering (VQA) pairs, and models have shown significant accuracy improvements. However, these benchmarks rarely test the model's ability to accurately complete visual entailment, for instance, accepting or refuting a hypothesis...
MVCNN++: CAD model shape classification and retrieval using multi-view convolutional neural networks
Post, August 7, 2026 • (North Carolina State University) Deep neural networks have shown promising success towards the classification and retrieval tasks for images and text data. While there have been several implementations of deep networks in the area of computer graphics, these algorithms do not translate easily across different datasets, especially for shapes used...