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== 挑战与发展趋势 == 尽管计算机视觉取得了长足进步，但仍面临诸多挑战：模型对数据分布变化的鲁棒性不足、对大规模标注数据的依赖、计算资源消耗大，以及在安全敏感场景中的可解释性问题（参见 [[AI 伦理与安全]]）。未来的发展趋势包括自监督与少样本学习、多模态融合（视觉与语言结合）、轻量化模型部署，以及与具身智能的深度结合。
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