Lip-reading on LRW-1000 (test)

55.7Accuracy

Refined Network (SE+MixUp+Cosine LR+LS+WB)

Updated 4d ago

Evaluation Results

Method	Links
Refined Network (SE+MixUp+Cosine LR+LS+WB) 2020.11		55.7
MVM 2022.04		53.82
Multi-modality Associative Bridging 2022.04		50.82
Kim et al. (2021b) 2022.04		50.82
Refined Network (SE+MixUp+Cosine LR+LS+WB) 2020.11		48
Ma et al. (2021a) 2022.04		46.6
Face Cutout 2022.04		45.24
Zhang et al. (2020b) 2022.04		45.24
Face Cutout (Zhang et al.) 2020.11		45.2
Ma et al. (2021c) 2022.04		43.65
Multi-Stage Distillation (Ma et al.) 2020.11		43.2
DFTN 2020.03		41.93
Deformation Flow 2022.04		41.93
Xiao et al. (2020) 2022.04		41.93
Deformation Flow (Xiao et al.) 2020.11		41.9
Multi-Scale TCN 2020.01		41.4
Temporal Convolution (Martinez et al.) 2020.11		41.4
MS-TCN 2022.04		41.4
Martinez et al. (2020) 2022.04		41.4
GLMIM 2020.03		38.79
MI Maximization 2022.04		38.79
Zhao et al. (2020a) 2022.04		38.79
PCPG 2020.03		38.7
Policy Gradient (Luo et al.) 2020.11		38.7
Mutual Information (Zhao et al.) 2020.11		38.7
PCPG 2022.04		38.7
Luo et al. (2020) 2022.04		38.7
Baseline+LMIM 2020.03		38.69
Baseline 2020.03		38.35
ResNet + LSTM 2020.01		38.2
Stafylakis et al. 2020.11		38.2
3D+2D 2019.08		38.19
3D+2D 2020.03		38.19
Yang19 2020.03		38.19
Yang et al. 2020.03		38.19
Yang et al. 2022.04		38.19
Yang et al. (2019) 2022.04		38.19
Multi-Grained Spatio-temporal Network 2019.08		36.91
Wang 2020.03		36.91
Wang19 2020.03		36.91
Wang 2020.03		36.91
Multi-Grained 2022.04		36.91
Multi-Grained 2020.01		36.9
Multi-Grained (Wang et al.) 2020.11		36.9
D3D 2019.08		34.76
D3D 2020.03		34.76
3D+2D 2019.08		33.78
LSTM-5 2019.08		25.76
LSTM-5 2020.03		25.76
Chung et al. 2020.11		25.7