GH-ESD introduces hypothesis-driven error slice discovery for vision
July 26, 2026
The GH-ESD method identifies systematic failures in vision models by discovering error slices grounded in spatial and relational patterns. Unlike cluster-based approaches, it focuses on contextual failures in object detection and segmentation.
HOW THIS AFFECTS YOU
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researcherThis provides a more robust framework for evaluating vision model failure modes in complex scenes.