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iscyy committed Aug 19, 2022
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Expand Up @@ -61,19 +61,19 @@ The above multiple detection algorithms use a unified model code framework, whic

🚀 Support more Backbone

- `CSPDarkNet series`
`ResNet series`
`RepBlock series`
`ShuffleNet series`
`Ghost series`
`MobileNet series`
`ConvNext series`
`RepLKNet series`
`RegNet series`
`EfficientNet series`
`Transformer series`
`CNN and Transformer, etc.`
Continuously updated 🎈
- `CSPDarkNet series`
`ResNet series`
`RepBlock series`
`ShuffleNet series`
`Ghost series`
`MobileNet series`
`ConvNext series`
`RepLKNet series`
`RegNet series`
`EfficientNet series`
`Transformer series`
`CNN and Transformer, etc.`
Continuously updated 🎈

🚀 Support more Necks

Expand All @@ -88,20 +88,20 @@ Continuously updated 🎈
- YOLOv7 IAuxDetect Head, IDetect Head;

🚀Support for more plug-and-play attention mechanisms
- Plug-and-play use of attention mechanisms anywhere in the network
Self Attention
Contextual Transformer
Bottleneck Transformer
S2-MLP Attention
SK Attention
CBAM Attention
SE Attention
Coordinate attention
NAM Attention
GAM attention
ECA Attention
Shuffle Attention
DANet Attention and other mainstream attention mechanisms
- Plug-and-play use of attention mechanisms anywhere in the network
Self Attention
Contextual Transformer
Bottleneck Transformer
S2-MLP Attention
SK Attention
CBAM Attention
SE Attention
Coordinate attention
NAM Attention
GAM attention
ECA Attention
Shuffle Attention
DANet Attention and other mainstream attention mechanisms

🚀Support for more IoU loss functions
- Loss functions such as CIoU, DIoU, GIoU, EIoU, SIoU, alpha IOU, etc.
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