Continuous Sign Language Recognition on PHOENIX14-T 2018 (test)
19.4WERTCNet
Evaluation Results
| Method | Links | |
|---|---|---|
| TCNetBackbone=ResNet18, FLOPs=932.1G, Parameters=19.3M2024.03 | 19.4 | |
| C2SLR*Backbone=ResNet18, FLOPs=1124.6G, Parameters=32.6M2024.03 | 20.4 | |
| CorrNetBackbone=ResNet18, FLOPs=1035.4G, Parameters=20.5M2024.03 | 20.5 | |
| SENBackbone=ResNet18, FLOPs=1144.2G, Parameters=23.1M2024.03 | 20.7 | |
| STMC*Backbone=VGG11, FLOPs=1742.1G, Parameters=40.71M2024.03 | 21 | |
| TLPBackbone=ResNet18, FLOPs=2950.5G, Parameters=48.0M2024.03 | 21.2 | |
| SMKDBackbone=ResNet18, FLOPs=1032.3G, Parameters=20.3M2024.03 | 22.4 | |
| VACBackbone=ResNet18, FLOPs=1120.4G, Parameters=22.3M2024.03 | 23.9 | |
| DNF*Backbone=GoogLeNet, FLOPs=1487.3G, Parameters=43.30M2024.03 | 24 | |
| HMM*Backbone=GoogLeNet, FLOPs=1488.2G, Parameters=44.0M2024.03 | 24.1 | |
| SLT*Backbone=GoogLeNet2024.03 | 24.6 | |
| FCNBackbone=Custom, FLOPs=983.0G, Parameters=20.3M2024.03 | 25.1 | |
| SFLBackbone=ResNet18, FLOPs=1180.2G, Parameters=33.7M2024.03 | 26.1 |