In this paper, we propose an approach to apply the Trans- former with reinforcement learning (RL) for continuous sign language recognition (CSLR) task. The ...
In this paper, we propose an approach to apply the Transformer with reinforcement learning (RL) for continuous sign language recognition (CSLR) task.
This paper proposes to train the Transformer directly on non-differentiable metrics, i.e., word error rate (WER), through RL, and a policy gradient ...
Fig. 2. The architecture of the Transformer [10]. In this section, we briefly review some continuous sign lan- guage recognition (CSLR) methods, and compactly ...
In this paper, a continuous SLR system is proposed using a deep learning model employing Long Short-Term Memory (LSTM), trained and tested on an ...
Missing: Reinforcement | Show results with:Reinforcement
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2 days ago · Abstract. Currently, continuous sign language recognition faces challenges such as difficulty in acquiring skeletal data, long training time for ...
Missing: Reinforcement | Show results with:Reinforcement
Oct 22, 2024 · Sign language recognition (SLR) is a significant and promising technique to facilitate the communication for the hearing-impaired people.
Abstract—Continuous Sign Language Recognition (CSLR) is a challenging research task due to the lack of accurate annotation on the temporal sequence of sign ...
This research paper aims to conduct a systematic experimental evaluation of computer vision-based approaches for sign language recognition. The present research ...
Missing: via Reinforcement
This repository is all you need to open the door about AI sign languages! Keywords: Sign Language, Sign Language Translation (SLT), Sign Language ...