KuangJuiHsu/DeepCO3
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
This helps researchers in computer vision automatically identify and segment individual objects from a collection of related images, even if those objects appear multiple times. You input a set of images containing instances of the same object category, and it outputs a distinct segmentation mask for each individual object found. This is ideal for scientists working with large visual datasets who need precise object isolation without extensive manual annotation.
137 stars. No commits in the last 6 months.
Use this if you need to precisely outline every instance of a target object across a group of images, especially when you don't have pixel-level annotations for training.
Not ideal if you are looking to segment objects in a single image or if you have abundant pixel-wise labeled data for training a standard segmentation model.
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137
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Language
MATLAB
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Last pushed
Apr 30, 2019
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