CAS-VSR-W1k (LRW-1000)
Introduced by Yang et al. in LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
LRW-1000 has been renamed as CAS-VSR-W1k.* It is a naturally-distributed large-scale benchmark for word-level lipreading in the wild, including 1000 classes with about 718,018 video samples from more than 2000 individual speakers. There are more than 1,000,000 Chinese character instances in total. Each class corresponds to the syllables of a Mandarin word which is composed by one or several Chinese characters. This dataset aims to cover a natural variability over different speech modes and imaging conditions to incorporate challenges encountered in practical applications.
Source: VIPLBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
CAS-VSR-W1k (LRW-1000)
|
3D-ResNet + Bi-GRU + MixUp + Label Smooth + Cosine LR
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
