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https://github.com/ffiirree/encoder-decoder

What features are "U" networks needed for image segmentation?
https://github.com/ffiirree/encoder-decoder

autoencoder pytorch unet

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What features are "U" networks needed for image segmentation?

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# EncoderDecoder

What features are "U" / Encoder-Decoder networks needed for image segmentation?

## EncoderDecoder Networks

- [x] AutoEncoder
- [ ] AutoEncoder with shortcuts
- [x] AutoEncoder with two decoders
- [x] `baseline:` UNet
- [x] UNet with two decoders
- [x] UNet 2+ / (modified) UNet 3+
- [x] modified UNet 3+ with two decoders

## with Carvana dataset

Net / Dice | vanilla | image reconstruction | object reconstruction | border reconstruction
|--|:--:|:--:|:--:|:--:|
| AE |98.80
98.52
98.25
98.15
| AE - 2 decoders | - | 98.11
98.83
98.27
98.46 | 98.64
98.75
98.57
98.13
| AE with shortcuts |
| AE with shortcuts - 2 decoders | - |
| UNet(`baseline`) |98.71
98.62
98.87
98.56
| UNet - 2 decoders | - | 98.78
98.81
98.65
98.92 | 99.08
98.29
98.08
98.98
| UNet 2+ |
| UNet 2+ - 2 decoders | - |
| UNet 3+ | 98.79
99.10
98.82
98.84 |
| UNet 3+ - 2 decoders | - | 98.89
99.12
99.02
99.23 |98.84
98.74
98.83
99.13

## with LITS 2017 dataset

Net| vanilla | image reconstruction | object reconstruction | border reconstruction
|--|:--:|:--:|:--:|:--:|
| AE |
| AE - 2 decoders |
| AE with shortcuts |
| AE with shortcuts - 2 decoders |
| UNet(`baseline`) |
| UNet - 2 decoders |
| UNet 2+ |
| UNet 2+ - 2 decoders |
| UNet 3+ |
| UNet 3+ - 2 decoders |