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DeepLabV3Plus-With-EfficientNetB4-Encoder-50-Epoch-Polyp-Segmentation-0.9793-IoU

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• "efficientnet_pytorch.utils.BlockArgs",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.SeparableConv2d",
• "torch.LongStorage",
• "torch.nn.modules.dropout.Dropout",
• "efficientnet_pytorch.utils.GlobalParams",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.Sequential",
• "segmentation_models_pytorch.encoders.efficientnet.EfficientNetEncoder",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "efficientnet_pytorch.utils.Conv2dStaticSamePadding",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.DeepLabV3PlusDecoder",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPP",
• "efficientnet_pytorch.model.MBConvBlock",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "segmentation_models_pytorch.decoders.deeplabv3.model.DeepLabV3Plus",
• "efficientnet_pytorch.utils.MemoryEfficientSwish",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Identity",
• "segmentation_models_pytorch.base.heads.SegmentationHead",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "segmentation_models_pytorch.base.modules.Activation",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPSeparableConv",
• "__builtin__.set",
• "torch.nn.modules.activation.Sigmoid",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "segmentation_models_pytorch.decoders.deeplabv3.decoder.ASPPPooling",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.padding.ZeroPad2d"

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