Jiaxuan-Li/EVCap
[CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
This helps generate accurate and detailed descriptions for images, even if they contain new or unusual objects. You provide an image, and it outputs a textual caption that intelligently incorporates knowledge of various visual elements. This is useful for content creators, digital archivists, or anyone needing to automatically describe diverse visual content.
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Use this if you need to automatically generate precise and current descriptions for a wide variety of images, including those with objects or scenes not commonly found in standard datasets.
Not ideal if you require descriptions for images where the visual content is highly abstract or does not correspond to common real-world objects and concepts.
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Language
Python
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Last pushed
Apr 08, 2024
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