Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation

Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation explores A modular framework to improve open-vocabulary panoptic segmentation by addressing objectness bias and region-to-text misalignment, achieving state-of-the-art results.. Commercial viability score: 7/10 in Computer Vision.