xvjiarui/GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
This project offers an improved method for accurately identifying and segmenting multiple objects within images. It takes raw image data and outputs precise bounding boxes and pixel-level masks for each detected object. This is ideal for computer vision engineers or researchers developing advanced object detection and segmentation systems.
1,220 stars. No commits in the last 6 months.
Use this if you need to build object detection models that deliver higher accuracy in identifying and outlining objects in complex images, especially when global context is important.
Not ideal if you are looking for a plug-and-play application for end-users, as this is a foundational component for building more advanced computer vision systems.
Stars
1,220
Forks
167
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 16, 2021
Commits (30d)
0
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