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Skeleton Action Recognition on NTU-60 (48/12 random split)

87.63Seen AccuracySynSE (+ CADA-VAE's GZSL)
44.064455.374766.68577.9953Jan 27, 2021Jul 6, 2021Dec 14, 2021May 24, 2022Oct 31, 2022Apr 10, 2023Sep 18, 2023

Evaluation results

MethodLinks
SynSE (+ CADA-VAE's GZSL)GZSL Strategy=Non-gating latent space alignment2021.0187.6300——
SynSE (+ softgating)Gating Strategy=Soft Gating, Temperature Scaling=true2021.0169.2321.7433.09——
ReViSE2021.0162.3620.7731.16——
ReViSE2023.0962.3620.7731.16——
JPOSE2021.0160.4920.6230.75——
JPOSE2023.0960.4920.6230.75——
MSFvariant=AD2023.0959.4237.5246——
MSFvariant=LB+AD+MD2023.0958.84047.61——
MSFvariant=LB2023.0953.2534.4341.82——
SynSEGating Strategy=Hard Gating, Temperature Scaling=true2021.0152.2127.8536.33——
SynSE2023.0952.2127.8536.33——
CADA-VAE2021.0151.3227.0335.41——
CADA-VAE2023.0951.3227.0335.41——
MSFvariant=MD2023.0950.6948.7549.7——
SynSE (- temp. scaling)Gating Strategy=Hard Gating, Temperature Scaling=false2021.0145.7425.8733.05——
CADA-VAEmode=Zero-shot Learning2021.01———28.96—
CADA-VAE2023.09———28.96—
CADA-VAEZero-shot=true2026.04————28.96
DVTAZero-shot=true2026.04————44.14
FDSMZero-shot=true2026.04————57.46
FS-VAEZero-shot=true2026.04————57.2
InfoCPLZero-shot=true2026.04————53.32
JPoSEZero-shot=true2026.04————28.75
JPOSEmode=Zero-shot Learning2021.01———28.75—
JPOSE2023.09———28.75—
MSFinput_semantics=Label-based (LB)2023.09———40.8—
MSFinput_semantics=Action Description (AD)2023.09———45.81—
MSFinput_semantics=Movement Description (MD)2023.09———55.38—
MSFinput_semantics=Fusion (LB+AD+MD)2023.09———49.19—
PURLSZero-shot=true2026.04————40.99
ReViSEmode=Zero-shot Learning2021.01———17.49—
ReViSE2023.09———17.49—
ReViSEZero-shot=true2026.04————17.49
SA-DVAEZero-shot=true2026.04————41.38
SMIEZero-shot=true2026.04————40.18
STARZero-shot=true2026.04————45.1
SynSEmode=Zero-shot Learning2021.01———33.3—
SynSE2023.09———33.3—
SynSEZero-shot=true2026.04————33.3
TDSMZero-shot=true2026.04————56.03