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BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
In this work, we are dedicated to leveraging the BERT pre-training success and modeling the domain-specific statistics to fertilize the …
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Hand-Object Interaction Image Generation
In this work, we are dedicated to a new task, i.e., hand-object interaction image generation, which aims to conditionally generate the …
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SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
Hand gesture serves as a critical role in sign language. Current deep-learning-based sign language recognition (SLR) methods may suffer …
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Improving sign language translation with monolingual data by sign back-translation
Despite existing pioneering works on sign language translation (SLT), there is a non-trivial obstacle, i.e., the limited quantity of …
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Model-Aware Gesture-to-Gesture Translation
Hand gesture-to-gesture translation is a significant and interesting problem, which serves as a key role in many applications, such as …
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Hand-Model-Aware Sign Language Recognition
Hand gestures play a dominant role in the expression of sign language. Current deep-learning based video sign language recognition …
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Boosting continuous sign language recognition via cross modality augmentation
Continuous sign language recognition (SLR) deals with unaligned video-text pair and uses the word error rate (WER), i.e., edit …
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Continuous sign language recognition via reinforcement learning
In this paper, we propose an approach to apply the Transformer with reinforcement learning (RL) for continuous sign language …
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Deep grammatical multi-classifier for continuous sign language recognition
In this paper, we propose a novel deep architecture with multiple classifiers for continuous sign language recognition. Representing …
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Dynamic pseudo label decoding for continuous sign language recognition
Continuous sign language recognition is a weakly supervised problem to translate video sequence to sign gloss sequence, where temporal …
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