Mar 21, 2024 · This study provides a publicly available cross-dataset transfer learning benchmark from two existing public Turkish SLR datasets. We use a ...

Apr 15, 2024 · Transfer learning approaches may make it possible to carry this success to under-resourced sign languages where large annotated datasets are not ...

Apr 15, 2024 · We use a temporalgraph convolution-based sign language recognition approach to evaluate fivesupervised transfer learning approaches and ...

Apr 15, 2024 · This paper explores the use of transfer learning to improve isolated sign language recognition in under-resourced datasets. The researchers ...

The proposed method for cross-dataset transfer learning in isolated sign language recognition can be extended to other under-resourced sign languages by ...

Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets ... Sign language recognition (SLR) has recently achieved a ...

Cross-dataset transfer learning effectively recognizes under-resourced sign languages; Experiments highlight improvements over traditional fine-tuning ...

Mar 21, 2024 · Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets.

Deep neural networks improve isolated sign language recognition through transfer learning from annotated datasets. 1.

This study provides a publicly available cross-dataset transfer learning benchmark from two existing public Turkish SLR datasets. We use a temporal graph ...