Lipreading On Lrw 1000 1
评估指标
Top-1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Top-1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| DenseNet3D + Bi-GRU | 34.76% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild | |
| 3D Conv + ResNet-34 + Bi-GRU | 38.19% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild | |
| 3D Conv + ResNet-18 + MS-TCN | 41.4% | Lipreading using Temporal Convolutional Networks | |
| Multi-Tower LSTM-5 | 25.76% | LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild |
0 of 4 row(s) selected.