模型汇总
ForensicHub支持所有IMDLBenCo 和DeepfakeBench的模型,并新实现了AIGC生成图片检测和文档篡改检测 的模型,具体汇总如下表,注册名称为用户使用ForensicHub时需要使用的注册名称:
Domain | Model | Paper Link | Code Link | Registered Name | Code Path |
---|---|---|---|---|---|
Backbone | ConvNeXt | Paper | GitHub | ConvNextSmall | ForensicHub/common/backbones/convnext.py |
Backbone | DenseNet | Paper | GitHub | DenseNet121 | ForensicHub/common/backbones/densenet.py |
Backbone | EfficientNet | Paper | GitHub | EfficientB4 | ForensicHub/common/backbones/efficientnet.py |
Backbone | MobileNet | Paper | GitHub | MobileNetV3 | ForensicHub/common/backbones/mobilenet.py |
Backbone | ResNet | Paper | GitHub | Resnet50 | ForensicHub/common/backbones/resnet.py |
Backbone | SegFormer | Paper | GitHub | Segformerb3 | ForensicHub/common/backbones/segformer.py |
Backbone | Swin Transformer | Paper | GitHub | SwinSmall | ForensicHub/common/backbones/swintransformer.py |
Backbone | UNet | Paper | GitHub | UNetBase | ForensicHub/common/backbones/unet.py |
Backbone | ViT | Paper | GitHub | ViTBase | ForensicHub/common/backbones/vit.py |
Backbone | Xception | Paper | GitHub | Xception | ForensicHub/common/backbones/xception.py |
AIGC | Dire | Paper | GitHub | Dire | ForensicHub/tasks/aigc/models/dire/dire.py |
AIGC | DualNet | Paper | GitHub | DualNet | ForensicHub/tasks/aigc/models/dualnet/DualNet.py |
AIGC | HiFiNet | Paper | GitHub | HiFi_Net | ForensicHub/tasks/aigc/models/hifi_net/HiFi_Net.py |
AIGC | Synthbuster | Paper | - | Synthbuster | ForensicHub/tasks/aigc/models/synthbuster/Synthbuster.py |
AIGC | UnivFD | Paper | Github | UnivFD | ForensicHub/tasks/aigc/models/univfd/UnivFD.py |
Document | CAFTB_Net | Paper | - | CAFTB_Net | ForensicHub/tasks/document/models/caftb_net/caftb_net.py |
Document | DTD | Paper | Github | DTD | ForensicHub/tasks/document/models/dtd/dtd.py |
Document | FFDN | Paper | - | FFDN | ForensicHub/tasks/document/models/ffdn/ffdn.py |
Document | PSNet | Paper | - | PSNet | ForensicHub/tasks/document/models/psnet/psnet.py |
Document | Tifdm | Paper | - | Tifdm | ForensicHub/tasks/document/models/tifdm/tifdm.py |