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cuenet-rwf2000
manhdungcr7/cuenet-rwf2000
cuenet-rwf2000 is a video classification model from manhdungcr7. Use it for the video classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
CUE-Net (CLIP-based UniFormerV2 Enhanced Network) là mô hình phát hiện bạo lực từ video giám sát, được huấn luyện trên bộ dữ liệu RWF-2000.
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.pyth4.2 GB · 100%
At a glance
- Task
- Video Classification
- License
- mit
- Access
- Public
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026
- SHA
- a88d21ad
Datasets
Model card
From the Hugging Face model README
CUE-Net: Violence Detection Model
Model Description
CUE-Net (CLIP-based UniFormerV2 Enhanced Network) là mô hình phát hiện bạo lực từ video giám sát, được huấn luyện trên bộ dữ liệu RWF-2000.
Architecture
- Backbone: CLIP ViT-L/14-336
- Framework: UniFormerV2
- Input: 64 frames × 336 × 336
- Classes: 2 (Fight, NonFight)
- Parameters: ~354M
Performance
| Metric | Score |
|---|---|
| Accuracy | 89.50% |
| F1-Score | 89.48% |
Usage
from slowfast.models.build import build_model
from slowfast.config.defaults import get_cfg
cfg = get_cfg()
cfg.merge_from_file("config.yaml")
model = build_model(cfg)
# Load checkpoint
checkpoint = torch.load("cuenet_rwf2000_epoch51.pyth")
model.load_state_dict(checkpoint["model_state"])
Training Details
- Optimizer: AdamW
- Learning rate: 4e-4
- Epochs: 51
- Batch size: 2-4
- Task
- Video Classification
- License
- mit
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026