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SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding
Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language …
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Prior-aware Cross Modality Augmentation Learning for Continuous Sign Language Recognition
Continuous sign language recognition (CSLR) aims to map a sign video into a sentence of text words in the same order as the signs. …
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Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework
Current continuous sign language recognition systems generally target on a single language. When it comes to the multilingual problem, …
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Global-Local Enhancement Network for NMF-Aware Sign Language Recognition
Sign language recognition (SLR) is a challenging problem, involving complex manual features (i.e., hand gestures) and fine-grained …
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Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation
Sign Language Translation (SLT) aims to generate spoken language translations from sign language videos. Currently, the available sign …
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Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation
Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, …
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Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition
Sign language recognition (SLR) is a significant and promising technique to facilitate the communication for the hearing-impaired …
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Attention-Based 3D-CNNs for Large-Vocabulary Sign Language Recognition
Sign language recognition (SLR) is an important and challenging research topic in the multimedia field. Conventional techniques for SLR …
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