Intellindust-AI-Lab/DEIM
[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence
DEIM is a training framework that significantly improves object detection models by making them faster and more accurate. It takes raw image data and processes it to quickly identify and pinpoint objects within those images. This is ideal for researchers and engineers working on computer vision applications who need to develop highly efficient and precise object detection systems.
1,464 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are developing real-time object detection systems and need to improve their training speed and accuracy, especially for applications on edge or mobile devices.
Not ideal if you are looking for a plug-and-play solution for general image classification or a tool for annotating datasets.
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1,464
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189
Language
Python
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Last pushed
Mar 24, 2026
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