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Continuous Sign Language Recognition on CSL-Daily (dev)

25.4Word Error Rate (WER)TwoStream-SLR (Ours)
24.85628.52832.235.872Nov 2, 2022May 10, 2023Nov 16, 2023May 24, 2024Nov 30, 2024Jun 8, 2025Dec 15, 2025

Evaluation results

MethodLinks
TwoStream-SLR (Ours)Modality=RGB + Pose2022.1125.4——
TwoStream-SLRModality=RGB+Keypoints2023.0925.4——
TwoStream-SLRExtra Cues (Keypoints)=true2023.0525.4——
TS-SLRModality=Pose + RGB2025.0125.4——
SlowFastSignModality=RGB Only2023.0925.5——
SlowFastSignVenue=ICASSP 20242025.1225.5——
DCA2023.0525.69.12.8
C2ST2023.0525.99.32.7
C2STModality=Pose2025.0125.9——
CLIP-SLAVenue=CVPR 20252025.1226——
Sigma2025.0926.09——
Uni-SignModality=Pose + RGB2025.0126.7——
Uni-Sign2025.0926.7——
SlowFastSign (Reproduced)Venue=ICASSP 2024, reproducibility=Reproduced2025.1226.9——
USTMsmallModality=RGB2025.1227.7——
USTMbaseModality=RGB2025.1227.7——
USTMsmallBackbone=Swin-small2025.1227.7——
USTMbaseBackbone=Swin-base2025.1227.7——
USTMsmallVariant=small2025.1227.7——
USTMbaseVariant=base2025.1227.7——
USTMtinyModality=RGB2025.1227.8——
USTMtinyBackbone=Swin-tiny2025.1227.8——
USTMtinyVariant=tiny2025.1227.8——
CoSign2023.0528.1——
CoSignModality=Pose2025.0128.1——
CoSign2025.0928.1——
Uni-SignModality=Pose2025.0128.2——
MSKAVenue=PR 20252025.1228.2——
Swin-MSTPVenue=Neurocomp. 2025, Backbone=Swin-small2025.1228.3——
STNetVenue=IEEE Acc. 20252025.1228.3——
ACMCVenue=IMAVIS 20252025.1228.3——
TB-Net2023.0528.4——
MSLUModality=Pose2025.0128.6——
CorrNet+Venue=arXiv 20242025.1228.6——
MP-SLRVenue=TPAMI 20252025.1228.6——
MSLU2025.0928.6——
TCNet2024.0329.7——
SGN2023.0530.410.83.1
CorrNet2023.0330.6——
CorrnetModality=RGB Only2023.0930.6——
CorrNet2024.0330.6——
CorrNet2023.0530.6——
CorrNetModality=Pose2025.0130.6——
CorrNetVenue=CVPR 20232025.1230.6——
CorrNet2025.0930.6——
SEN2022.1131.1——
AdaBrowsealpha=0.04, GFLOPS=287, Throughput (videos/s)=12.312023.0831.1——
AdaBrowse+alpha=0.05, GFLOPS=241, Throughput (videos/s)=15.122023.0831.1——
SEN2024.0331.1——
SEN2023.0531.1——
SENModality=Pose2025.0131.1——
SEN2025.0931.1——
AdaBrowse+GFLOPS per video=1712023.0831.2——
AdaBrowse+alpha=0.1, GFLOPS=171, Throughput (videos/s)=17.582023.0831.2——
AdaBrowseModality=Pose2025.0131.2——
AdaBrowseVenue=ACM MM 20232025.1231.2——
AdaBrowse2025.0931.2——
AdaBrowseGFLOPS per video=2542023.0831.3——
AdaBrowsealpha=0.15, GFLOPS=254, Throughput (videos/s)=14.262023.0831.3——
CTCA2023.0531.39.22.5
CTCAVenue=CVPR 20232025.1231.3——
BaselineGFLOPS=364, Throughput (videos/s)=12.222023.0831.5——
C2SLREnd-to-end=true, Modalities (Training)=R+P, Modalities (Inference)=R2022.1231.9——
TIN-Iterative2022.1132.8——
Baseline2022.1132.8——
DNF (RGB)Modality=RGB2022.1132.8——
TIN-Iterative2023.0332.8——
TIN-IterativeGFLOPS per video=6322023.0832.8——
DNF (RGB)Modality=RGB Only2023.0932.8——
DNFEnd-to-end=false, Modalities (Training)=R+F, Modalities (Inference)=R+F2022.1232.8——
TIN2024.0332.8——
DNFModality=RGB+Op.Flow2025.1232.8——
Joint-SLRT2022.1133.1——
Joint-SLRTModality=RGB2022.1133.1——
Joint-SLRT2023.0333.1——
Joint-SLRTGFLOPS per video=3162023.0833.1——
Joint-SLRT+Modality=RGB Only2023.0933.1——
SLTEnd-to-end=true, Modalities (Training)=R, Modalities (Inference)=R2022.1233.1——
Joint-SLRT2024.0333.1——
TwoStream-SLRModality=RGB+Pose2025.1233.1——
FCN2022.1133.2——
FCNModality=RGB2022.1133.2——
SignBTModality=RGB2022.1133.2——
FCN2023.0333.2——
FCNGFLOPS per video=2862023.0833.2——
FCN+Modality=RGB Only2023.0933.2——
FCNEnd-to-end=true, Modalities (Training)=R, Modalities (Inference)=R2022.1233.2——
FCN2024.0333.2——
SignBTModality=Pose2025.0133.2——
SignBT2025.0933.2——
BN-TIN2022.1133.6——
BN-TIN2023.0333.6——
BN-TINGFLOPS per video=3162023.0833.6——
SignBTModality=RGB Only2023.0933.6——
TIN + TransformerEnd-to-end=true, Modalities (Training)=R, Modalities (Inference)=R2022.1233.6——
BN-TIN2024.0333.6——
BN-TIN+Transf2023.0533.613.93.4
SignBERTModality=RGB+Pose2025.1233.6——
LS-HAN2022.1139——
LS-HANModality=RGB2022.1139——