Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A survey on Sign Language machine translation
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …
communicate on a daily basis. However, the communication with hearing people still faces …
Robotic vision for human-robot interaction and collaboration: A survey and systematic review
Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …
to collect and interpret detailed information related to human actions, goals, and …
Multimodal large language models: A survey
The exploration of multimodal language models integrates multiple data types, such as
images, text, language, audio, and other heterogeneity. While the latest large language …
images, text, language, audio, and other heterogeneity. While the latest large language …
Two-stream network for sign language recognition and translation
Sign languages are visual languages using manual articulations and non-manual elements
to convey information. For sign language recognition and translation, the majority of existing …
to convey information. For sign language recognition and translation, the majority of existing …
Learning audio-visual speech representation by masked multimodal cluster prediction
Video recordings of speech contain correlated audio and visual information, providing a
strong signal for speech representation learning from the speaker's lip movements and the …
strong signal for speech representation learning from the speaker's lip movements and the …
A simple multi-modality transfer learning baseline for sign language translation
This paper proposes a simple transfer learning baseline for sign language translation.
Existing sign language datasets (eg PHOENIX-2014T, CSL-Daily) contain only about 10K …
Existing sign language datasets (eg PHOENIX-2014T, CSL-Daily) contain only about 10K …
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, ie, the limited quantity of parallel sign-text data. To tackle this parallel data …
obstacle, ie, the limited quantity of parallel sign-text data. To tackle this parallel data …
Natural language-assisted sign language recognition
Sign languages are visual languages which convey information by signers' handshape,
facial expression, body movement, and so forth. Due to the inherent restriction of …
facial expression, body movement, and so forth. Due to the inherent restriction of …
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 understanding (SLU) are prone to over-fitting due …
learning based methods for sign language understanding (SLU) are prone to over-fitting due …
How2sign: a large-scale multimodal dataset for continuous american sign language
One of the factors that have hindered progress in the areas of sign language recognition,
translation, and production is the absence of large annotated datasets. Towards this end, we …
translation, and production is the absence of large annotated datasets. Towards this end, we …