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Paper/Open-Vocabulary Semantic Segmentation.md
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4. Use MaskFormer(a mask proposal generator trained on COCO) as an region proposal generator.
5. Select the region proposals with highest overlap with ground-truth masks.
6. Assign the object label to this region.
7. This model reach mIoU of 66.5%(despite)
7. This model reach mIoU of 66.5%. (despite imperfect region proposal)
- Conclusion
Pre-trained CLIP not performed well over masked images, we hypothesize that CLIP trained on natural image which are not cropped or noised by segmentation masks.
## Vocabularies
1. ground-truth masks: refer to the manually annotated masks or pixel-level labels that are used to define the correct segmentation of objects in an image. Each pixel in the ground-truth mask is assigned a specific class label corresponding to the object or region it belongs to.