jiwoon-ahn/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
This project helps computer vision practitioners automatically identify and outline individual objects within an image, even when only broad category labels are available for the entire image. It takes an image along with a general class label (e.g., "cat" for an image containing a cat) and outputs precise, pixel-level outlines for each instance of that object. Researchers and engineers working with image analysis benefit from this for tasks requiring detailed object localization.
535 stars. No commits in the last 6 months.
Use this if you need to precisely segment individual objects in images but only have coarse, image-level class labels, not detailed pixel-level annotations.
Not ideal if you already have fully annotated datasets with precise pixel masks for all objects or if your task only requires simple bounding box detection.
Stars
535
Forks
96
Language
Python
License
MIT
Category
Last pushed
May 01, 2023
Commits (30d)
0
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