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NVIDIA 用 LoRA 微调 Cosmos 3 Nano,交通信号识别准确率从 54% 升至 93%

🚦 The zero-shot model misses a visible traffic signal. After post-training Cosmos 3 Nano with LoR...

精选理由

NVIDIA 用 LoRA 微调小模型 Cosmos 3 Nano 做交通信号识别,准确率从 54% 蹿到 93%,一天内搞定,效果很猛。

AI 摘要

零样本模型漏检了一个可见交通信号。用 LoRA 对 Cosmos 3 Nano 进行后训练后,WTS 验证准确率从 54.41% 提升到 87.14%。结合 NVIDIA TAO AutoML,准确率进一步达到 93.35%。整个微调流程在一天内完成。

原文 · NVIDIA AI

🚦 The zero-shot model misses a visible traffic signal. After post-training Cosmos 3 Nano with LoR...

🚦 The zero-shot model misses a visible traffic signal. After post-training Cosmos 3 Nano with LoRA, it correctly identifies the intersection, and overall WTS validation accuracy increases from 54.41% to 87.14%. 📈 With NVIDIA TAO AutoML, accuracy reaches 93.35%. All in under a day. 💬 9 🔄 6 ❤️ 35 👀 3251 📊 14 ⚡

NVIDIA 用 LoRA 微调 Cosmos 3 Nano,交通信号识别准确率从 54% 升至 93% · AI 热点