#421 · Primary category： Computer Vision
GroupViT
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
Project last updated：05/10/22
GitHub Stars
790
Forks
59
Contributors
2
License
Other
Why we included this project
GroupViT tackles a problem most segmentation models avoid: learning to segment images without any pixel-level mask labels. It trains on image-text caption pairs and learns to group visually similar regions into semantic segments, the approach behind the CVPR 2022 paper. The repository carries the official implementation, pretrained checkpoints, and evaluation scripts for PASCAL VOC and COCO, so reproducing the reported zero-shot results is fairly direct. It is a research codebase rather than a production segmentation service. Teams working on weakly supervised or zero-shot vision will get the most from studying how the hierarchical grouping and text alignment are implemented.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)