liuyang-ict/SAP-DETR
[CVPR 2023] Official implementation of "SAP-DETR: Bridging the Gap between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency "
This project helps computer vision researchers and practitioners efficiently detect objects within images. You feed it raw image data, and it outputs precise bounding box coordinates for identified objects, accelerating the training process for object detection models. This is ideal for those working on real-time image analysis, autonomous systems, or large-scale content moderation.
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Use this if you need to train object detection models significantly faster while maintaining high accuracy, especially when working with Transformer-based architectures.
Not ideal if you are looking for a pre-trained, ready-to-use application and do not have expertise in training machine learning models.
Stars
30
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
May 28, 2023
Commits (30d)
0
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