shjo-april/RecurSeed_and_EdgePredictMix
[Under Review] RecurSeed and EdgePredictMix: Single-stage learning is sufficient for Weakly-Supervised Semantic Segmentation
This project helps computer vision researchers and practitioners efficiently perform weakly-supervised semantic segmentation. You provide images with basic image-level labels (e.g., 'this image contains a cat'), and the system automatically outputs pixel-level segmentation masks that accurately outline objects within those images. This is ideal for those needing to precisely identify objects in images without the tedious process of manual pixel-level annotation.
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Use this if you need to create highly accurate segmentation masks for objects in images, but only have access to coarse, image-level labels for training.
Not ideal if you already have perfectly pixel-level annotated datasets, as its strength lies in improving segmentation from weaker supervision.
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Language
Python
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Last pushed
Jan 26, 2023
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