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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Sign Language Recognition On Csl Daily

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Word Error Rate (WER)

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
Word Error Rate (WER)
Paper TitleRepository
TCNet29.3TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions-
SEN30.7Self-Emphasizing Network for Continuous Sign Language Recognition-
SlowFastSign24.9SlowFast Network for Continuous Sign Language Recognition-
CorrNet30.1Continuous Sign Language Recognition with Correlation Network-
AdaBrowse30.6AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition-
BN-TIN+Transf.33.1Improving Sign Language Translation with Monolingual Data by Sign Back-Translation-
MSKA-SLR27.8Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation-
CorrNet+ACDR29.0Denoising-Contrastive Alignment for Continuous Sign Language Recognition-
CTCA29.4Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition-
C2SLR31.0Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal-
Uni-Sign26.0Uni-Sign: Toward Unified Sign Language Understanding at Scale-
TwoStream-SLR25.3Two-Stream Network for Sign Language Recognition and Translation-
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