BPU-Net: a precise grain image segmentation method based on bidirectional skip connections and continuous VI loss

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I also tested more complex prompts—e.g., gave 20 human-written chapters and asked the model to mimic the style and continue. Detection rate dipped slightly but still hit 67.8% (we trained on similarly complex prompts anyway). Space limits prevent showing all results—feel free to test yourself.