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Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.11126v1 Announce Type: new Abstract: Verification and validation (V&V) of classification models is crucial to enable a wide range of sensor processing applications. Currently, the V&V process relies on time-consuming manual inspection of erroneous samples to find meaningful patterns. Thi…

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  1. 2026-09-11 04:00 · arXiv cs.CV
    Beyond Benchmarks: Using VLMs to Reveal Systematic Classification Failures Under Real World Conditions

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