360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning

We present 360-MLC, a self-training method based on multi-view layout consistency for finetuning monocular room-layout models using unlabeled 360-images only. This can be valuable in practical scenarios where a pre-trained model needs to be adapted to a new data domain without using any ground truth...

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Hauptverfasser:	Solarte, Bolivar, Wu, Chin-Hsuan, Liu, Yueh-Cheng, Tsai, Yi-Hsuan, Sun, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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