The paper claims a single-seed, prompt-free annotator with 99.99% mIoU, but the described inference pipeline bakes the seed's ground-truth label into the output for every image.
Motionsc: Data set and network for real- time semantic mapping in dynamic environments,
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Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator
The paper claims a single-seed, prompt-free annotator with 99.99% mIoU, but the described inference pipeline bakes the seed's ground-truth label into the output for every image.