L1007555652/FogAct
FogAct: A Real-World Benchmark for Foggy Action Recognition Official Hugging Face repository for the paper: Seeing Through Fog: Towards Fog-Invariant Action Recognition Foggy conditions frequently appear in real-world scenarios such as surveillance, autonomous driving, and human-computer interaction. However, most existing action recognition methods are designed and evaluated under clear-weather assumptions. Under foggy conditions, reduced visibility, low contrast, and motion… See the full description on the dataset page: https://huggingface.co/datasets/L1007555652/FogAct.
| Author / organization | L1007555652 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 196 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 17 May 2026 |
| Last updated at source | 24 May 2026 |
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