CUHK-AIM-Group/CLIFF
[ECCV' 24 Oral] CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection
This project helps computer vision researchers and AI practitioners develop and evaluate models that can detect a wide range of objects in images, even those not seen during training. You input an image and get back identified objects along with their bounding boxes and labels. It's designed for those pushing the boundaries of object detection beyond predefined categories.
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Use this if you need an object detection model capable of identifying novel or open-vocabulary objects in images without retraining for each new category.
Not ideal if you primarily work with a fixed set of object categories and only need standard, closed-vocabulary object detection.
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Language
Python
License
MIT
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Last pushed
Sep 26, 2024
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