Removed all config stuff from readme
Browse files
README.md
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@@ -28,51 +28,51 @@ Memory refers to the VRAM requirements during the training process.
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The weights of the Segformer (Original) model were used to get the inference results.
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| Method | mIoU | Speed-Up |
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| Segformer (Original) | 82.39 | - | [
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| Segformer++<sub>HQ</sub> (ours) | 82.31 | 1.61 | [
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| Segformer++<sub>fast</sub> (ours) | 82.04 | 1.94 | [
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| Segformer++<sub>2x2</sub> (ours) | 81.96 | 1.90 | [
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| Segformer (Downsampling) | 77.31 | 6.51 | [
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### Training on Cityscapes (MiT-B5)
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| Method | mIoU | Speed-Up | Memory (GB) |
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| Segformer (Original) | 82.39 | - | 48.3 | [
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| Segformer++<sub>HQ</sub> (ours) | 82.19 | 1.40 | 34.0 | [
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| Segformer++<sub>fast</sub> (ours) | 81.77 | 1.55 | 30.5 | [
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| Segformer++<sub>2x2</sub> (ours) | 82.38 | 1.63 | 31.1 | [
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| Segformer (Downsampling) | 79.24 | 2.95 | 10.0 | [
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### Training on ADE20K (640x640) (MiT-B5)
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| Method | mIoU | Speed-Up | Memory (GB) |
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| Segformer (Original) | 49.72 | - | 33.7 | [
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| Segformer++<sub>HQ</sub> (ours) | 49.77 | 1.15 | 29.2 | [
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| Segformer++<sub>fast</sub> (ours) | 49.10 | 1.20 | 28.0 | [
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| Segformer++<sub>2x2</sub> (ours) | 49.35 | 1.26 | 27.2 | [
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| Segformer (Downsampling) | 46.71 | 1.89 | 12.4 | [
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### Training on JBD
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| Method | PCK@0.1 | PCK@0.05 | Speed-Up | Memory (GB) |
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| Segformer (Original) | 95.20 | 90.65 | - | 40.0 | [
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| Segformer++<sub>HQ</sub> (ours) | 95.18 | 90.51 | 1.19 | 36.0 | [
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| Segformer++<sub>fast</sub> (ours) | 94.58 | 89.87 | 1.25 | 34.6 | [
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| Segformer++<sub>2x2</sub> (ours) | 95.17 | 90.16 | 1.27 | 33.4 | [
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### Training on MS COCO
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| Method | PCK@0.1 | PCK@0.05 | Speed-Up | Memory (GB) |
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| Segformer (Original) | 95.16 | 87.61 | - | 13.5 | [
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| Segformer++<sub>HQ</sub> (ours) | 94.97 | 87.35 | 0.97 | 13.1 | [
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| Segformer++<sub>fast</sub> (ours) | 95.02 | 87.37 | 0.99 | 12.9 | [
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| Segformer++<sub>2x2</sub> (ours) | 94.98 | 87.36 | 1.24 | 12.3 | [
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## Usage
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The weights of the Segformer (Original) model were used to get the inference results.
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| Method | mIoU | Speed-Up | download |
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|-----------------------------------|------:|---------:|----------------------------------------------------------------|
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| Segformer (Original) | 82.39 | - | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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| Segformer++<sub>HQ</sub> (ours) | 82.31 | 1.61 | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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| Segformer++<sub>fast</sub> (ours) | 82.04 | 1.94 | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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| Segformer++<sub>2x2</sub> (ours) | 81.96 | 1.90 | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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| Segformer (Downsampling) | 77.31 | 6.51 | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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### Training on Cityscapes (MiT-B5)
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| Method | mIoU | Speed-Up | Memory (GB) | download |
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|-----------------------------------|------:|---------:|-------------|-----------------------------------------------------------------|
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| Segformer (Original) | 82.39 | - | 48.3 | [model](https://mediastore.rz.uni-augsburg.de/get/yzE65lzm6N/) |
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| Segformer++<sub>HQ</sub> (ours) | 82.19 | 1.40 | 34.0 | [model](https://mediastore.rz.uni-augsburg.de/get/i8fY8uXJrV/ ) |
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| Segformer++<sub>fast</sub> (ours) | 81.77 | 1.55 | 30.5 | [model](https://mediastore.rz.uni-augsburg.de/get/cmG974iAxt/ ) |
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| Segformer++<sub>2x2</sub> (ours) | 82.38 | 1.63 | 31.1 | [model](https://mediastore.rz.uni-augsburg.de/get/p0uMKbw531/) |
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| Segformer (Downsampling) | 79.24 | 2.95 | 10.0 | [model](https://mediastore.rz.uni-augsburg.de/get/73zkKSO21t/) |
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### Training on ADE20K (640x640) (MiT-B5)
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| Method | mIoU | Speed-Up | Memory (GB) | download |
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|-----------------------------------|------:|---------:|------------:|----------------------------------------------------------------|
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| Segformer (Original) | 49.72 | - | 33.7 | [model](https://mediastore.rz.uni-augsburg.de/get/nKEjUHNAfK/) |
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| Segformer++<sub>HQ</sub> (ours) | 49.77 | 1.15 | 29.2 | [model](https://mediastore.rz.uni-augsburg.de/get/Odyie8usgj/) |
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| Segformer++<sub>fast</sub> (ours) | 49.10 | 1.20 | 28.0 | [model](https://mediastore.rz.uni-augsburg.de/get/K0IGkx4O2s/) |
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| Segformer++<sub>2x2</sub> (ours) | 49.35 | 1.26 | 27.2 | [model](https://mediastore.rz.uni-augsburg.de/get/w5_Pxx4Q5C/) |
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| Segformer (Downsampling) | 46.71 | 1.89 | 12.4 | [model](https://mediastore.rz.uni-augsburg.de/get/dFVvZQL6iL/) |
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### Training on JBD
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| Method | PCK@0.1 | PCK@0.05 | Speed-Up | Memory (GB) | download |
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|-----------------------------------|--------:|---------:|---------:|------------:|----------------------------------------------------------------|
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| Segformer (Original) | 95.20 | 90.65 | - | 40.0 | [model](https://mediastore.rz.uni-augsburg.de/get/psolrWXLLp/) |
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| Segformer++<sub>HQ</sub> (ours) | 95.18 | 90.51 | 1.19 | 36.0 | [model](https://mediastore.rz.uni-augsburg.de/get/jx1eyecMLF/) |
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| Segformer++<sub>fast</sub> (ours) | 94.58 | 89.87 | 1.25 | 34.6 | [model](https://mediastore.rz.uni-augsburg.de/get/K0IGkx4O2s/) |
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| Segformer++<sub>2x2</sub> (ours) | 95.17 | 90.16 | 1.27 | 33.4 | [model](https://mediastore.rz.uni-augsburg.de/get/HumKbSB1vI/) |
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### Training on MS COCO
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| Method | PCK@0.1 | PCK@0.05 | Speed-Up | Memory (GB) | download |
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|-----------------------------------|--------:|---------:|---------:|------------:|----------------------------------------------------------------|
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| Segformer (Original) | 95.16 | 87.61 | - | 13.5 | [model](https://mediastore.rz.uni-augsburg.de/get/ZOgj2NmQLy/) |
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| Segformer++<sub>HQ</sub> (ours) | 94.97 | 87.35 | 0.97 | 13.1 | [model](https://mediastore.rz.uni-augsburg.de/get/oAH5IlPxG8/) |
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| Segformer++<sub>fast</sub> (ours) | 95.02 | 87.37 | 0.99 | 12.9 | [model](https://mediastore.rz.uni-augsburg.de/get/3E2mMNLAAn/) |
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| Segformer++<sub>2x2</sub> (ours) | 94.98 | 87.36 | 1.24 | 12.3 | [model](https://mediastore.rz.uni-augsburg.de/get/rzlgKC5XLc/) |
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## Usage
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