Comments (2)
linyq2117
commented on July 24, 2024
Hi, thanks for your interest.
I did not understand your question well. Our method is designed for weakly supervised semantic segmentation and image-level labels (class names per image) have been provided in this setting. We only augment class names with prompts and synonyms (Section 3.2) as the text input of CLIP. This may be the initial text queries you mentioned?
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SouthFlame
commented on July 24, 2024
Thanks for the answer!
I am sorry to ask a misunderstood question, but, your answer let me understand it.
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Related Issues (20)
- About CLIP RN-50 HOT 4
- CGL损失在什么时候使用的？ HOT 3
- The DeepLab config HOT 7
- Clarification on COCO Dataset Segmentation Groundtruth HOT 3
- The voc results HOT 4
- Clarification on Deeplab Model Configuration and Pre-training HOT 2
- Reproducing miou 58.6 (Initial) from Table 2 HOT 2
- eval CRF processed pseudo masks HOT 3
- Running Problems HOT 6
- Cam performance HOT 4
- softmax processing on Grad CAM HOT 1
- Some details HOT 5
- "origami" and "rendering HOT 2
- Problem with the link for train_aug groundtruth HOT 1
- Thanks for you work, could you provide the setting of training Deeplabv2 on COCO dataset? HOT 2
- COCO数据集的SegmentationClass文件 HOT 2
- train with my own dataset HOT 5
- loss and gradient backpropagation HOT 2
- Request for clip_wrapper.py Compatible with open-clip for CAM Generation
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