uber-research/UPSNet
UPSNet: A Unified Panoptic Segmentation Network
UPSNet helps computer vision researchers and practitioners accurately interpret complex images by identifying every object and region within them. It takes raw image data, like photographs of urban scenes or everyday objects, and outputs detailed segmentations that categorize each pixel. This tool is for scientists and engineers working on advanced image understanding tasks.
645 stars. No commits in the last 6 months.
Use this if you need a high-performance solution for panoptic segmentation, which unifies instance and semantic segmentation to provide a complete understanding of an image's contents.
Not ideal if you are looking for a simple, off-the-shelf image classification tool or if you do not have access to significant GPU resources for model training.
Stars
645
Forks
115
Language
Python
License
—
Category
Last pushed
Jul 11, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/uber-research/UPSNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
augmentedstartups/AS-One
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under...
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with...
shreyas-bk/u2netdemo
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal,...
robustsam/RobustSAM
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
AIDajiangtang/Segment-Anything-CSharp
segment anything（SAM） WPF客户端