Learning Mask-aware CLIP Representations for Zero-Shot Segmentation (Supplementary material) Anonymous Author(s) Affiliation Address email

In the supplementary material, we first introduce technical details of the "frozen CLIP" approaches in Sec. 1. Then the dataset settings are shown in Sec. 2. Figure 1 presents an overview of the "frozen CLIP" approach. It's worth noting that all sub-images are resized to Figure 2: Comparison among three merge operations. Pascal-VOC, COCO-Stuff and ADE20K, to evaluate the performance of MAFT. Pascal-VOC: There are 10582 images for training and 1,449 images for testing. ADE20K: ADE20K contains 25k images for training and 2k images for validation. Pascal-Context is an extensive dataset of Pascal-VOC 2010.