Multi-scale local-temporal similarity fusion for continuous sign language recognition

•we propose a content-aware feature selector(CFS) and position-aware temporal convolver (PTC) to enhance feature learning.•We fuse different scales of convolved features with a content-dependent multiscale aggregator (CMA).•Our proposed model mLTSF-Net achieves the state-of-the-art accuracy compared with many competitive baseline models.