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per class score link
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chrischoy committed Jan 15, 2020
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Expand Up @@ -92,9 +92,9 @@ Modify the stanford 3d path in the script and run
## Model Zoo

| Model | Dataset | Voxel Size | Conv1 Kernel Size | Performance | Link |
|:-------------:|:-------------------:|:----------:|:-----------------:|:------------------------:|:------:|
| Mink16UNet34C | ScanNet train + val | 2cm | 3 | Test set 73.6% mIoU | [download](https://node1.chrischoy.org/data/publications/minknet/Mink16UNet34C_ScanNet.pth) |
| Mink16UNet34C | ScanNet train | 2cm | 5 | Val 72.219% mIoU without rotation average [per class performance](https://github.com/chrischoy/SpatioTemporalSegmentation/issues/13) | [download](https://node1.chrischoy.org/data/publications/minknet/MinkUNet34C-train-conv1-5.pth) |
| Mink16UNet18 | Stanford Area5 train | 5cm | 5 | Area 5 test 65.483% mIoU w/o rotation average, no sliding window | [download](https://node1.chrischoy.org/data/publications/minknet/Mink16UNet18_stanford-conv1-5.pth) |
|:-------------:|:-------------------:|:----------:|:-----------------:|:-------------------------------------------------------------------------------:|:------:|
| Mink16UNet34C | ScanNet train + val | 2cm | 3 | Test set 73.6% mIoU, no sliding window | [download](https://node1.chrischoy.org/data/publications/minknet/Mink16UNet34C_ScanNet.pth) |
| Mink16UNet34C | ScanNet train | 2cm | 5 | Val 72.219% mIoU, no rotation average, no sliding window [per class performance](https://github.com/chrischoy/SpatioTemporalSegmentation/issues/13) | [download](https://node1.chrischoy.org/data/publications/minknet/MinkUNet34C-train-conv1-5.pth) |
| Mink16UNet18 | Stanford Area5 train | 5cm | 5 | Area 5 test 65.828% mIoU, no rotation average, no sliding window [per class performance](https://pastebin.com/Gj3PrPFr) | [download](https://node1.chrischoy.org/data/publications/minknet/Mink16UNet18_stanford-conv1-5.pth) |

Note that sliding window style evaluation (cropping and stitching results) used in many related works effectively works as an ensemble (rotation averaging) which boosts the performance.

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