https://github.com/Claire874/TextCTC-SLT
공식 코드Improvement in Sign Language Translation Using Text CTC Alignment
Papers with Code 아카이브
Sign Language Translation
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Given a video containing sign language, the task is to predict the translation into (written) spoken language.
Image credit: How2Sign
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DavidVinicius/concatenating-videos-for-sign-language-translation
공식 코드Less is more: concatenating videos for Sign Language Translation from a small set of signs
https://github.com/EtaEnding/Signformer
공식 코드Signformer is all you need: Towards Edge AI for Sign Language
https://github.com/FangyunWei/SLRT
공식 코드Two-Stream Network for Sign Language Recognition and Translation
https://github.com/FangyunWei/SLRT/tree/main/TwoStreamNetwork
공식 코드A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
https://github.com/OvrK12/slt
공식 코드https://github.com/XinS0909/Diverse_Sign_Language_Translation
공식 코드https://github.com/atrewin/signxmda
공식 코드Cross-modality Data Augmentation for End-to-End Sign Language Translation
https://github.com/avoskou/Stochastic-Transformer-Networks-with-Linear-Competing-Units-Application-to-end-to-end-SL-Translatio
공식 코드https://github.com/biaofuxmu/conslt
공식 코드A Token-level Contrastive Framework for Sign Language Translation
https://github.com/bzhangGo/sltunet
공식 코드SLTUNET: A Simple Unified Model for Sign Language Translation
https://github.com/chevaliernoir/openasl
공식 코드Open-Domain Sign Language Translation Learned from Online Video
https://github.com/claire874/gloss-free-mlslt
공식 코드Multilingual Gloss-free Sign Language Translation: Towards Building a Sign Language Foundation Model
https://github.com/dxli94/WLASL
공식 코드https://github.com/ed-fish/Geo-Sign
공식 코드Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
https://github.com/eddie-euijun-hwang/spamo
공식 코드An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs
https://github.com/eq4all-projects/signbleu
공식 코드SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation
https://github.com/event-ahu/openesl
공식 코드https://github.com/exploration-lab/isltranslate
공식 코드https://github.com/facebookresearch/ssvp_slt
공식 코드https://github.com/henrylittle/glofe
공식 코드https://github.com/how2sign/how2sign.github.io
공식 코드How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
https://github.com/hulianyuyy/corrnet_plus
공식 코드CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
https://github.com/imatge-upc/slt_how2sign_wicv2023
공식 코드https://github.com/j22melody/signwriting-translation
공식 코드Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting
https://github.com/jinhuiye/signcl
공식 코드Improving Gloss-free Sign Language Translation by Reducing Representation Density
https://github.com/kayoyin/transformer-slt
공식 코드https://github.com/kevinjosethomas/sign-language-processing
공식 코드An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface
https://github.com/midusi/lsa-t
공식 코드LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation
https://github.com/mt-upc/fairseq
공식 코드Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22
https://github.com/neccam/slt
공식 코드Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
https://github.com/openvinotoolkit/training_extensions
공식 코드ASL Recognition with Metric-Learning based Lightweight Network
https://github.com/pedroodb/sign_attention
공식 코드SignAttention: On the Interpretability of Transformer Models for Sign Language Translation
https://github.com/pengr/mono_slt
공식 코드https://github.com/pooyafayyaz/fingerspelling-posenet
공식 코드Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
https://github.com/pooyafayyaz/gloss2text
공식 코드Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.