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感谢up分享学习案例!
The text was updated successfully, but these errors were encountered:
@waerluo 我没有使用能量模型。 每个物体都预测一个未知分数。 理论上代表未知程度的分数在已知类上接近0,一般模型越大,就越趋近于0。由于资金问题,大模型要晚些才会训练。 推理的时候,未知分数和你设定的阈值进行比较,大于阈值为不知道。 学习时的知识越丰富,认知力就强一些。已知类的信息越丰富,可检测为未知的种类也越丰富。
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感谢up分享学习案例!
The text was updated successfully, but these errors were encountered: