Lipreading On Lrw 1000 1
Metrics
Top-1 Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| 3D Conv + ResNet-18 + MS-TCN | 41.4% | Lipreading using Temporal Convolutional Networks |
| 3D Conv + ResNet-34 + Bi-GRU | 38.19% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild |
| DenseNet3D + Bi-GRU | 34.76% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild |
| Multi-Tower LSTM-5 | 25.76% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild |
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