Papers by Alexander Nagaev
Logos as a Well-Tempered Pre-train for Sign Language Recognition (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing data on sign languages is limited, resulting in ambiguity in dataset labeling . similar signs can have different semantic meanings, which leads to ambiguous labeling. |
| Approach: | They propose to use a Russian sign language dataset as a universal encoder for other languages . they propose to explicitly annotate visually similar signs to improve model quality . |
| Outcome: | The proposed model outperforms current state-of-the-art models and gets competitive results for the AUTSL dataset. |