@@ -47,32 +47,32 @@ The goal of gathering all these representative methods into a single repo is to
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### Object Detection
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- source | backbone | model | bs | lr | lr_decay |
max_iter | [email protected] |
[email protected] :0.95
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- --------|--------|--------|:------:|:------:|:-------:|:------:|:------:|:------:
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- [ this repo] ( https://drive.google.com/open?id=1THLvK8q2VRx6K3G7BGo0FCe-D0EWP9o1 ) | Res-101 | faster r-cnn | 6 | 5e-3 | 70k,90k | 100k | 24.8 | 12.8
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+ source | backbone | model | bs | lr | lr_decay |
[email protected] |
[email protected] :0.95
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+ --------|--------|--------|:------:|:------:|:-------:|:------:|:------:
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+ [ this repo] ( https://drive.google.com/open?id=1THLvK8q2VRx6K3G7BGo0FCe-D0EWP9o1 ) | Res-101 | faster r-cnn | 6 | 5e-3 | 70k,90k | 24.8 | 12.8
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### Scene Graph Generation (Frequency Prior Only)
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- source | backbone | model | bs | lr | lr_decay | max_iter | sgdet@20 | sgdet@50 | sgdet@100
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- -------|--------|--------|:------:|:-------:|:------:|:------:|:------:|:------ -:|:-------:
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- [ this repo] ( https://drive.google.com/open?id=1Vb-gX3_OLhzgdNseXgS_2DiLmJ8qiG8P ) | Res-101 | freq | 6 | 5e-3 | 70k,90k | 100k | 19.4 | 25.0 | 28.5
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- [ motifnet] ( https://github.com/rowanz/neural-motifs ) | VGG-16 | freq | - | - | - | - | 17.7 | 23.5 | 27.6
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+ source | backbone | model | bs | lr | lr_decay | sgdet@20 | sgdet@50 | sgdet@100
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+ -------|--------|--------|:------:|:-------:|:------:|:------:|:-------:|:-------:
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+ [ this repo] ( https://drive.google.com/open?id=1Vb-gX3_OLhzgdNseXgS_2DiLmJ8qiG8P ) | Res-101 | freq | 6 | 5e-3 | 70k,90k | 19.4 | 25.0 | 28.5
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+ [ motifnet] ( https://github.com/rowanz/neural-motifs ) | VGG-16 | freq | - | - | - | 17.7 | 23.5 | 27.6
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<!-- Resnet-101 | freq-overlap | 6 | 5e-3 | (70k, 90k) | 100k | - | - | - -->
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\* freq = frequency prior baseline
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### Scene Graph Generation (Joint training)
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- source | backbone | model | bs | lr | lr_decay | max_iter | sgdet@20 | sgdet@50 | sgdet@100
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- -------|--------|--------|:------:|:-------:|:------:|:------:|:------:|:------ -:|:-------:
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- [ this repo] ( https://drive.google.com/open?id=1Vb-gX3_OLhzgdNseXgS_2DiLmJ8qiG8P ) | Res-101 | vanilla | 6 | 5e-3 | 70k,90k | 100k | 10.4 | 14.3 | 16.8
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+ source | backbone | model | bs | lr | lr_decay | sgdet@20 | sgdet@50 | sgdet@100
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+ -------|--------|--------|:------:|:-------:|:------:|:------:|:-------:|:-------:
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+ [ this repo] ( https://drive.google.com/open?id=1Vb-gX3_OLhzgdNseXgS_2DiLmJ8qiG8P ) | Res-101 | vanilla | 6 | 5e-3 | 70k,90k | 10.4 | 14.3 | 16.8
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<!-- -[this repo](https://drive.google.com/open?id=1Vb-gX3_OLhzgdNseXgS_2DiLmJ8qiG8P) | Res-101 | freq | 6 | 5e-3 | 70k,90k | 100k | 19.4 | 25.0 | 28.5-->
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### Scene Graph Generation (Step training)
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- source | backbone | model | bs | lr | lr_decay |
max_iter | [email protected] | sgdet@20 | sgdet@50 | sgdet@100
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- -------|--------|--------|:------:|:-------:|:------:|:------:|:------:|:------ -:|:-------:|:-------:
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- this repo | Res-101 | vanilla | 8 | 5e-3 | 20k,30k | 40k | 24.8 | 10.5 | 13.8 | 16.1
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- this repo | Res-101 | imp | 8 | 5e-3 | 20k,30k | 40k | 24.2 |16.7 | 21.7 | 25.2
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- [ motifnet] ( https://github.com/rowanz/neural-motifs ) | VGG-16 | imp | - | - | - | - | - | 14.6 | 20.7 | 24.5
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- this repo | Res-101 | msdn | 8 | 5e-3 | 20k,30k | 40k | - | - | - | -
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- this repo | Res-101 | grcnn | 8 | 5e-3 | 20k,30k | 40k | - | - | - | -
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+ source | backbone | model | bs | lr | lr_decay |
[email protected] | sgdet@20 | sgdet@50 | sgdet@100
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+ -------|--------|--------|:------:|:-------:|:------:|:------:|:-------:|:-------:|:-------:
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+ this repo | Res-101 | vanilla | 8 | 5e-3 | 20k,30k | 24.8 | 10.5 | 13.8 | 16.1
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+ this repo | Res-101 | imp | 8 | 5e-3 | 20k,30k | 24.2 |16.7 | 21.7 | 25.2
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+ [ motifnet] ( https://github.com/rowanz/neural-motifs ) | VGG-16 | imp | -| - | - | - | 14.6 | 20.7 | 24.5
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+ this repo | Res-101 | msdn | 8 | 5e-3 | 20k,30k | - | - | - | -
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+ this repo | Res-101 | grcnn | 8 | 5e-3 | 20k,30k | - | - | - | -
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\* you can click 'this repo' in above table to download the checkpoints.
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