From f1bf108986da54030d8fd50952ea7ffffce0a016 Mon Sep 17 00:00:00 2001 From: RainBus Date: Tue, 19 Dec 2023 20:16:21 +0800 Subject: [PATCH] vault backup: 2023-12-19 20:16:21 --- Paper/Open-Vocabulary Semantic Segmentation.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/Paper/Open-Vocabulary Semantic Segmentation.md b/Paper/Open-Vocabulary Semantic Segmentation.md index 4bd3882..322fd20 100644 --- a/Paper/Open-Vocabulary Semantic Segmentation.md +++ b/Paper/Open-Vocabulary Semantic Segmentation.md @@ -10,6 +10,10 @@ 1. Using ground-truth masks as region proposal. 2. Feed masked images to a pre-trained CLIP for classification. 3. Get mIoU of 20.1% on the ADE20K-150 dataset. + 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) ## Vocabularies