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Joints2Sign: Sign Language Recognition through Hand Pose Estimation

Authors

Pastore Giuseppe [email protected]
Loparco Enrico [email protected]

Description

J2S is a new approach for static Sign Language recognition, obtained from the combination of a regression stage and a classification one in a sequential way. It is an end-to-end trainable multi-task model with static or dynamic loss weighting.
For more details refer to the paper.

Code

The model implementatin can be easily opened in Google Colab.
Open In Colab

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Paper and code developed during Machine Learning course

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