在域自适应语义细分中处理开放式噪声和新目标识别

概括

这项研究引入了一个简单的噪音过渡矩阵 (SimT),以解决带有噪音伪标签的域自适应语义细分. SimT有效地模拟混合噪声,使得更好的新型目标识别和改进的细分性能.

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