A 298K-parameter from-scratch attention CNN matches ImageNet-pretrained backbones on a new 38-class Bangla sign language dataset and runs in real time on a smartphone.
Xception: Deep learning with depthwise separable convolutions, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp
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Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model
A 298K-parameter from-scratch attention CNN matches ImageNet-pretrained backbones on a new 38-class Bangla sign language dataset and runs in real time on a smartphone.