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This paper provides an integrative survey of classical XAI techniques, bringing them together within a shared taxonomy that spans explanatory scope, stage, and methodological foundations, and examines their underlying principles, assumptions, strengths, and limitations.
Foundation models still struggle to automatically annotate complex indoor crowd scenes, leaving ample room for improvement in automated annotation pipelines.