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Fix typo in 3D ResNet (#302)
* Fix typo in 3D ResNet * Update facebookresearch_pytorchvideo_resnet.md
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facebookresearch_pytorchvideo_resnet.md

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@@ -160,11 +160,12 @@ print("Top 5 predicted labels: %s" % ", ".join(pred_class_names))
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### Model Description
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The model architecture is based on [1] with pretrained weights using the 8x8 setting
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on the Kinetics dataset.
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| arch | depth | frame length x sample rate | top 1 | top 5 | Flops (G) | Params (M) |
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| --------------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |
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| --------------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |
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| Slow | R50 | 8x8 | 74.58 | 91.63 | 54.52 | 32.45 |
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### References
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[1] Christoph Feichtenhofer et al, "SlowFast Networks for Video Recognition"
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https://arxiv.org/pdf/1812.03982.pdf
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https://arxiv.org/pdf/1812.03982.pdf

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