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This CVPR paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings
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Identify the system or application that requires a trade-off between robustness and other factors.
02
Determine the key performance metrics that are affected by robustness.
03
Assess the current level of robustness and its impact on system performance.
04
List the advantages and disadvantages of increasing robustness versus other factors (e.g., cost, speed, flexibility).
05
Evaluate the specific context or requirements of the project to understand the necessary level of robustness.
06
Prioritize requirements and stakeholder needs to align on acceptable trade-offs.
07
Document the optimal balance that meets both robustness needs and constraints.

Who needs trade-off between robustness and?

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Software developers looking to enhance application stability.
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Product managers balancing product performance with durability.
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Quality assurance teams ensuring reliability against requirements.
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Business analysts assessing cost-effectiveness of robust solutions.
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Project managers negotiating budget and resource allocation.
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The trade-off between robustness and performance often refers to the balance between creating solutions that can handle variability and uncertainties (robustness) while optimizing for speed, efficiency, or other performance metrics.
Individuals or organizations that engage in practices that require compliance with specific regulations related to robustness and performance metrics are typically required to file this information.
To fill out the trade-off, one must gather relevant data regarding performance metrics and robustness criteria, analyze the relationship between them, and document potential compromises or solutions that balance both aspects.
The purpose is to identify and articulate the compromises necessary between ensuring consistent, reliable outcomes versus achieving optimized results in other desired metrics.
Information that should be reported includes specific metrics related to performance, tests or assessments of robustness, any deviations observed, and solutions or strategies implemented to mitigate trade-offs.
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