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您好,这是 PASCAL 数据集的链接。
预训练模型权重也可在此处获得,因此如果您只想进行评估/推理,则无需重新训练模型。README 中提供了使用预训练权重运行 eval 的命令。
我们使用 Swin tiny,但 img 大小为 448,但如果您使用主配置文件 (mtlora_tiny_448_r64_scale4_pertask.yaml),则无需指定变体,如 README 所示。 你回答的这个我想问一下就是你文中讲解的微调是指的什么,是指的重新训练吗
The text was updated successfully, but these errors were encountered:
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您好,这是 PASCAL 数据集的链接。
预训练模型权重也可在此处获得,因此如果您只想进行评估/推理,则无需重新训练模型。README 中提供了使用预训练权重运行 eval 的命令。
我们使用 Swin tiny,但 img 大小为 448,但如果您使用主配置文件 (mtlora_tiny_448_r64_scale4_pertask.yaml),则无需指定变体,如 README 所示。 你回答的这个我想问一下就是你文中讲解的微调是指的什么,是指的重新训练吗
The text was updated successfully, but these errors were encountered: