Object recognition and object identification are complex cognitive processes where information is integrated and processed by an extensive network of brain areas. However, although object recognition ...

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The research presents an object recognition approach based on next-token prediction, using a language decoder that predicts text tokens from image embeddings to create labels. Auto-regression is ...

Object recognition and image processing are just two areas where the ImageAI library hopes to assist developers by providing a wide variety of computer vision algorithms and deep learning approaches.

A computer vision team at the Georgia Institute of Technology has developed a new approach for computers to train themselves on image object recognition. The work modernizes how machine learning ...

The object detection is done via single-shot detection (ssd). Our method required shorter time which is a priority for real time recognition, compared to different other methods, through the whole ...

Interestingly, object recognition can still be highly accurate under these conditions when objects are seen within their typical scene context. What are the neural mechanisms of context-based object ...