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[Fix] Update readme (#341)
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* update kl readme

* update dsnas readme

* fix url
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@HIT-cwh
HIT-cwh authored Nov 1, 2022
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6 changes: 3 additions & 3 deletions configs/distill/mmcls/deit/README.md
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Expand Up @@ -17,9 +17,9 @@ Recently, neural networks purely based on attention were shown to address image

### Classification

| Dataset | Model | Teacher | Top-1 (%) | Top-5 (%) | Configs | Download |
| -------- | --------- | ----------- | --------- | --------- | ------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| ImageNet | Deit-base | RegNety-160 | 83.24 | 96.33 | [config](deit-base_regnety160_pt-16xb64_in1k.py) | [model](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.pth?versionId=CAEQThiBgMCFteW0oBgiIDdmMWY2NGRiOGY1YzRmZWZiOTExMzQ2NjNlMjk2Nzcz) \| [log](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.json?versionId=CAEQThiBgIDGos20oBgiIGVlNDgyM2M2ZTk5MzQyYjFhNTgwNGIzMjllZjg3YmZm) |
| Dataset | Model | Teacher | Top-1 (%) | Top-5 (%) | Configs | Download |
| -------- | --------- | ----------- | --------- | --------- | ------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| ImageNet | Deit-base | RegNety-160 | 83.24 | 96.33 | [config](deit-base_regnety160_pt-16xb64_in1k.py) | [model](https://download.openmmlab.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.pth?versionId=CAEQThiBgMCFteW0oBgiIDdmMWY2NGRiOGY1YzRmZWZiOTExMzQ2NjNlMjk2Nzcz) \| [log](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.json?versionId=CAEQThiBgIDGos20oBgiIGVlNDgyM2M2ZTk5MzQyYjFhNTgwNGIzMjllZjg3YmZm) |

```{warning}
Before training, please first install `timm`.
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2 changes: 1 addition & 1 deletion configs/distill/mmcls/deit/metafile.yml
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Expand Up @@ -30,5 +30,5 @@ Models:
Metrics:
Top 1 Accuracy: 83.24
Top 5 Accuracy: 96.33
Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.pth?versionId=CAEQThiBgMCFteW0oBgiIDdmMWY2NGRiOGY1YzRmZWZiOTExMzQ2NjNlMjk2Nzcz
Weights: https://download.openmmlab.com/mmrazor/v1/deit/deit-base/deit-base_regnety160_pt-16xb64_in1k_20221011_113403-a67bf475.pth?versionId=CAEQThiBgMCFteW0oBgiIDdmMWY2NGRiOGY1YzRmZWZiOTExMzQ2NjNlMjk2Nzcz
Config: configs/distill/mmcls/deit/deit-base_regnety160_pt-16xb64_in1k.py
10 changes: 5 additions & 5 deletions configs/distill/mmcls/kd/README.md
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Expand Up @@ -14,11 +14,11 @@ A very simple way to improve the performance of almost any machine learning algo

### Classification

| Location | Dataset | Teacher | Student | Acc | Acc(T) | Acc(S) | Config | Download |
| :------: | :------: | :-----------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------: | :---: | :----: | :----: | :------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| logits | ImageNet | [resnet34](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet34_8xb32_in1k.py) | [resnet18](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet18_8xb32_in1k.py) | 71.81 | 73.62 | 69.90 | [config](./kd_logits_resnet34_resnet18_8xb32_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.pth) \|[model](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.pth?versionId=CAEQThiBgID1_Me0oBgiIDE3NTk3MDgxZmU2YjRlMjVhMzg1ZTQwMmRhNmYyNGU2) \| [log](https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.json?versionId=CAEQThiBgMDx_se0oBgiIDQxNTM2MWZjZGRhNjRhZDZiZTIzY2Y0NDU3NDA4ODBl) |
| logits | ImageNet | [resnet50](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet50_8xb32_in1k.py) | [mobilenet-v2](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py) | | 76.55 | 71.86 | [config](./kd_logits_resnet50_mobilenet-v2_8xb32_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth) \|[model](<>) \| \[log\](\<>>) |
| logits | ImageNet | [resnet34](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet50_8xb32_in1k.py) | [shufflenet-v2](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/shufflenet_v2/shufflenet-v2-1x_16xb64_in1k.py) | | 76.55 | 69.55 | [config](./kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth) \|\[model\](\<>>) \| \[log\](\<>>) |
| Location | Dataset | Teacher | Student | Acc | Acc(T) | Acc(S) | Config | Download |
| :------: | :------: | :-----------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------: | :---: | :----: | :----: | :------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| logits | ImageNet | [resnet34](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet34_8xb32_in1k.py) | [resnet18](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet18_8xb32_in1k.py) | 71.81 | 73.62 | 69.90 | [config](./kd_logits_resnet34_resnet18_8xb32_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet34_8xb32_in1k_20210831-f257d4e6.pth) \|[model](https://download.openmmlab.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.pth?versionId=CAEQThiBgID1_Me0oBgiIDE3NTk3MDgxZmU2YjRlMjVhMzg1ZTQwMmRhNmYyNGU2) \| [log](https://download.openmmlab.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.json?versionId=CAEQThiBgMDx_se0oBgiIDQxNTM2MWZjZGRhNjRhZDZiZTIzY2Y0NDU3NDA4ODBl) |
| logits | ImageNet | [resnet50](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet50_8xb32_in1k.py) | [mobilenet-v2](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py) | 73.56 | 76.55 | 71.86 | [config](./kd_logits_resnet50_mobilenet-v2_8xb32_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth) \|[model](https://download.openmmlab.com/mmrazor/v1/kd/kl_mbv2_w3t1/kd_logits_resnet50_mobilenet-v2_8xb32_in1k_20221025_212407-6ea9e2a5.pth) \| [log](https://download.openmmlab.com/mmrazor/v1/kd/kl_mbv2_w3t1/kd_logits_resnet50_mobilenet-v2_8xb32_in1k_20221025_212407-6ea9e2a5.json) |
| logits | ImageNet | [resnet50](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/resnet/resnet50_8xb32_in1k.py) | [shufflenet-v2](https://github.com/open-mmlab/mmclassification/blob/dev-1.x/configs/shufflenet_v2/shufflenet-v2-1x_16xb64_in1k.py) | 70.87 | 76.55 | 69.55 | [config](./kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k.py) | [teacher](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth) \|[model](https://download.openmmlab.com/mmrazor/v1/kd/kl_shuffle_w3t1/kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k_20221025_224424-5d748c1b.pth) \| [log](https://download.openmmlab.com/mmrazor/v1/kd/kl_shuffle_w3t1/kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k_20221025_224424-5d748c1b.json) |

## Citation

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10 changes: 5 additions & 5 deletions configs/distill/mmcls/kd/metafile.yml
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Expand Up @@ -31,7 +31,7 @@ Models:
Metrics:
Top 1 Accuracy: 71.81
Config: configs/distill/mmcls/kd/kd_logits_resnet34_resnet18_8xb32_in1k.py
Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.pth?versionId=CAEQThiBgID1_Me0oBgiIDE3NTk3MDgxZmU2YjRlMjVhMzg1ZTQwMmRhNmYyNGU2
Weights: https://download.openmmlab.com/mmrazor/v1/kd/kl_r18_w3/kd_logits_resnet34_resnet18_8xb32_in1k_w3_20221011_181115-5c6a834d.pth?versionId=CAEQThiBgID1_Me0oBgiIDE3NTk3MDgxZmU2YjRlMjVhMzg1ZTQwMmRhNmYyNGU2

- Name: kd_logits_resnet50_mobilenet-v2_8xb32_in1k
In Collection: KD
Expand All @@ -53,9 +53,9 @@ Models:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 73.68
Top 1 Accuracy: 73.56
Config: configs/distill/mmcls/kd/kd_logits_resnet50_mobilenet-v2_8xb32_in1k.py
Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/kd/kl_mbv2/kd_logits_resnet50_mobilenet-v2_8xb32_in1k_20221003_124149-d9548d27.pth?versionId=CAEQThiBgICdqMS0oBgiIGEzMmI1NmIwODI2ODQyODFiM2ZmOTE3NDQ3NmU1Yjhh
Weights: https://download.openmmlab.com/mmrazor/v1/kd/kl_mbv2_w3t1/kd_logits_resnet50_mobilenet-v2_8xb32_in1k_20221025_212407-6ea9e2a5.pth

- Name: kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k
In Collection: KD
Expand All @@ -77,6 +77,6 @@ Models:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 71.27
Top 1 Accuracy: 70.87
Config: configs/distill/mmcls/kd/kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k.py
Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/kd/kl_shuffle/kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k_20221003_124324-666a2414.pth?versionId=CAEQThiBgMCe78e0oBgiIDdhYjA0NTE4ZDZjMDRmOTU4YzNkN2E2ODNmODUwOGY5
Weights: https://download.openmmlab.com/mmrazor/v1/kd/kl_shuffle_w3t1/kd_logits_resnet50_shufflenet-v2-1x_16xb64_in1k_20221025_224424-5d748c1b.pth
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