A PyTorch implementation of a Transformer Network for Machine Translation that incorporates image features to enhance the performance of the translation
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Updated
Oct 26, 2021 - Python
A PyTorch implementation of a Transformer Network for Machine Translation that incorporates image features to enhance the performance of the translation
Map images to representation vectors.
Match similar image features.
A collection of computer vision techniques implemented in Python, including Kalman filtering, edge detection, image filtering, geometric transformations, contour detection, and segmentation. Ideal for students and researchers exploring practical aspects of image processing.
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