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@ -38,20 +38,20 @@ Instructions regarding how to prepare these datasets can be found [here](https:/
## Models
* `models/resnet.py`: ResNet50 [1], ResNet101 [1], ResNet50M [2].
* `models/resnext.py`: ResNeXt101 [26].
* `models/seresnet.py`: SEResNet50 [25], SEResNet101 [25], SEResNeXt50 [25], SEResNeXt101 [25].
* `models/densenet.py`: DenseNet121 [3].
* `models/mudeep.py`: MuDeep [10].
* `models/hacnn.py`: HACNN [15].
* `models/squeezenet.py`: SqueezeNet [18].
* `models/mobilenetv2.py`: MobileNetV2 [19].
* `models/shufflenet.py`: ShuffleNet [20].
* `models/xception.py`: Xception [21].
* `models/inceptionv4.py`: InceptionV4 [24].
* `models/inceptionresnetv2.py`: InceptionResNetV2 [24].
* `deepreid/models/resnet.py`: ResNet50 [1], ResNet101 [1], ResNet50M [2].
* `deepreid/models/resnext.py`: ResNeXt101 [26].
* `deepreid/models/seresnet.py`: SEResNet50 [25], SEResNet101 [25], SEResNeXt50 [25], SEResNeXt101 [25].
* `deepreid/models/densenet.py`: DenseNet121 [3].
* `deepreid/models/mudeep.py`: MuDeep [10].
* `deepreid/models/hacnn.py`: HACNN [15].
* `deepreid/models/squeezenet.py`: SqueezeNet [18].
* `deepreid/models/mobilenetv2.py`: MobileNetV2 [19].
* `deepreid/models/shufflenet.py`: ShuffleNet [20].
* `deepreid/models/xception.py`: Xception [21].
* `deepreid/models/inceptionv4.py`: InceptionV4 [24].
* `deepreid/models/inceptionresnetv2.py`: InceptionResNetV2 [24].
See `models/__init__.py` for details regarding what keys to use to call these models.
See `deepreid/models/__init__.py` for details regarding what keys to use to call these models.
Benchmarks can be found [here](https://github.com/KaiyangZhou/deep-person-reid/blob/master/BENCHMARK.md).