Papers by Dimitri Metaxas
Bidirectional Skeleton-Based Isolated Sign Recognition using Graph Convolutional Networks (2022.lrec-1)
Copied to clipboard
| Challenge: | a new method for computer-based sign recognition from video is proposed . it involves explicit detection of the start and end frames of isolated signs . |
| Approach: | They propose a skeleton-based method that involves explicit detection of start and end frames of signs . they apply a modified WLASL dataset with corrections to the gloss labeling . |
| Outcome: | The proposed method outperforms state-of-the-art methods on the modified WLASL dataset . it has a success rate of 77.43% and 94.54% for top-5 . |