edwardyehuang/CAR
CAR: Class-aware Regularizations for Semantic Segmentation (ECCV-2022)
This project helps computer vision researchers and practitioners accurately identify and separate different objects or regions within an image. It takes an image as input and outputs a pixel-level map where each pixel is classified into a specific category, allowing for precise object segmentation. This is ideal for those working on advanced image understanding tasks.
No commits in the last 6 months.
Use this if you need to perform highly accurate semantic segmentation, especially when dealing with images that contain many different classes or objects.
Not ideal if you are looking for a simple object detection tool that only draws bounding boxes, or if you don't require pixel-level precision for image analysis.
Stars
30
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 26, 2022
Commits (30d)
0
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