Lamiroy – Graphics Recognition. Current Trends and Challenges 10th – S9000z
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Lamiroy – Graphics Recognition: Current Trends and Challenges
Graphics recognition, the process of automatically identifying and extracting information from graphical documents, has seen significant advancements in recent years. From text extraction from images to object recognition in videos, the field of graphics recognition is constantly evolving. In this post, we will explore some of the current trends and challenges in graphics recognition.
One of the current trends in graphics recognition is the use of deep learning algorithms. Deep learning has shown great promise in improving the accuracy and efficiency of graphics recognition tasks. By training neural networks on large datasets of graphical documents, researchers have been able to achieve impressive results in tasks such as image classification, object detection, and text extraction.
Another trend in graphics recognition is the integration of multiple modalities. Instead of focusing solely on images or videos, researchers are now exploring how to combine information from different modalities to improve recognition performance. For example, combining text and image information can help improve the accuracy of document understanding tasks.
Despite these advancements, there are still several challenges in graphics recognition that researchers are working to overcome. One major challenge is the variability and complexity of graphical documents. Images and videos can contain a wide range of visual elements, making it difficult to develop algorithms that can accurately recognize and extract information from them.
Another challenge is the lack of annotated datasets for graphics recognition tasks. Training deep learning algorithms requires large amounts of labeled data, which can be difficult to obtain for graphics recognition tasks. Researchers are working to create new datasets and benchmark tasks to facilitate progress in the field.
Overall, the field of graphics recognition is rapidly evolving, with new trends and challenges emerging each year. By leveraging the latest advancements in deep learning and multi-modal integration, researchers are making great strides in improving the accuracy and efficiency of graphics recognition systems.
References:
Lamiroy, B., “Graphics Recognition – Current Trends and Challenges,” Proceedings of the 10th International Conference on Document Analysis and Recognition (S9000z), 2022.
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