https://github.com/2000zrl/lcsa_c2slr_srm
공식 코드Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
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Sign Language Recognition
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Sign Language Recognition is a computer vision and natural language processing task that involves automatically recognizing and translating sign language gestures into written or spoken language. The goal of sign language recognition is to develop algorithms that can understand and interpret sign language, enabling people who use sign language as their primary mode of communication to communicate more easily with non-signers.
<span style="color:grey; opacity: 0.6">( Image credit: Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ADA-SITE-JML/azsl_dataloader
공식 코드https://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/Godheritage/SCOPE
공식 코드SCOPE: Sign Language Contextual Processing with Embedding from LLMs
https://github.com/J22Melody/fairseq
공식 코드SignCLIP: Connecting Text and Sign Language by Contrastive Learning
https://github.com/Khushi-739/SLRNet
공식 코드SLRNet: A Real-Time LSTM-Based Sign Language Recognition System
https://github.com/ai-forever/bukva
공식 코드https://github.com/ai-forever/handreader
공식 코드HandReader: Advanced Techniques for Efficient Fingerspelling Recognition
https://github.com/alpk/tid-supervised-transfer-learning-dataset
공식 코드Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
https://github.com/alvarocavalcante/multi-cue-sign-language
공식 코드Sign language recognition based on deep learning and low-cost handcrafted descriptors
https://github.com/art-jang/signing-outside-the-studio
공식 코드https://github.com/biaofuxmu/conslt
공식 코드A Token-level Contrastive Framework for Sign Language Translation
https://github.com/binbinjiang/cvt-slr
공식 코드https://github.com/byeongkeun-kang/FingerspellingRecognition
공식 코드https://github.com/chevalierNoir/asl-iter-attn
공식 코드Fingerspelling recognition in the wild with iterative visual attention
https://github.com/ci4r/ASL-Sequential-Dataset
공식 코드ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces
https://github.com/davidlainesv/sl-tssi-densenet
공식 코드Isolated Sign Language Recognition based on Tree Structure Skeleton Images
https://github.com/ds-hub-sochi/sl-techreport
공식 코드Fine-tuning of sign language recognition models: a technical report
https://github.com/dxli94/WLASL
공식 코드https://github.com/faresbs/slrt
공식 코드Context Matters: Self-Attention for Sign Language Recognition
https://github.com/geekfeiw/WiSLAR
공식 코드Temporal Unet: Sample Level Human Action Recognition using WiFi
https://github.com/google/mediapipe
공식 코드https://github.com/hearai/hearai
공식 코드On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study
https://github.com/hearai/parse-hamnosys
공식 코드Handling sign language transcription system with the computer-friendly numerical multilabels
https://github.com/hotfinda/tcnet
공식 코드TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
https://github.com/hukenovs/slovo
공식 코드https://github.com/hulianyuyy/Temporal-Lift-Pooling
공식 코드Temporal Lift Pooling for Continuous Sign Language Recognition
https://github.com/hulianyuyy/adabrowse
공식 코드AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition
https://github.com/hulianyuyy/adaptsign
공식 코드Improving Continuous Sign Language Recognition with Adapted Image Models
https://github.com/hulianyuyy/corrnet
공식 코드Continuous Sign Language Recognition with Correlation Network
https://github.com/hulianyuyy/corrnet_plus
공식 코드CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
https://github.com/hulianyuyy/dsta-slr
공식 코드Dynamic Spatial-Temporal Aggregation for Skeleton-Aware Sign Language Recognition
https://github.com/hulianyuyy/sen_cslr
공식 코드Self-Emphasizing Network for Continuous Sign Language Recognition
https://github.com/idejie/hst-slr
공식 코드Hierarchical Sub-action Tree for Continuous Sign Language Recognition
https://github.com/iliasprc/slrzoo
공식 코드A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.