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open-mmlab · Feb 21, 2023 · 52b871f · 52b871f
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diff --git a/configs/recognition/tpn/README.md b/configs/recognition/tpn/README.md
@@ -27,9 +27,9 @@ Visual tempo characterizes the dynamics and the temporal scale of an action. Mod
 
 ### Something-Something V1
 
-| frame sampling strategy | resolution | gpus | backbone | pretrain | top1 acc | top5 acc | reference top1 acc | reference top5 acc | testing protocol | inference time(video/s) | gpu_mem(M) |      config       |      ckpt       |      log       |
-| :---------------------: | :--------: | :--: | :------: | :------: | :------: | :------: | :----------------: | :----------------: | :--------------: | :---------------------: | :--------: | :---------------: | :-------------: | :------------: |
-|          1x1x8          | height 100 | 8x6  | ResNet50 |   TSM    |  48.98   |  78.91   |         x          |         x          | 8 clips x 3 crop |            x            |    8828    | [config](/configs/recognition/tpn/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tpn/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb_20220913-d2f5c300.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tpn/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb.log) |
+| frame sampling strategy | resolution | gpus | backbone | pretrain | top1 acc | top5 acc | reference top1 acc | reference top5 acc | testing protocol | inference time(video/s) | gpu_mem(M) |           config            |    ckpt    |    log    |
+| :---------------------: | :--------: | :--: | :------: | :------: | :------: | :------: | :----------------: | :----------------: | :--------------: | :---------------------: | :--------: | :-------------------------: | :--------: | :-------: |
+|          1x1x8          | height 100 | 8x6  | ResNet50 |   TSM    |  51.87   |  79.67   |         x          |         x          | 8 clips x 3 crop |            x            |    8828    | [config](/configs/recognition/tpn/tpn-tsm_imagenet-pretrained-r50_8xb8-1x1x8-150e_sthv1-rgb.py) | [ckpt](<>) | [log](<>) |
 
 :::{note}
 

diff --git a/configs/recognition/tsn/README.md b/configs/recognition/tsn/README.md
@@ -30,10 +30,10 @@ Deep convolutional networks have achieved great success for visual recognition i
 
 ### Something-Something V2
 
-| frame sampling strategy | scheduler | resolution | gpus | backbone | pretrain | top1 acc | top5 acc |  testing protocol  | FLOPs  | params |              config              |                           ckpt |                            log |
-| :---------------------: | :-------: | :--------: | :--: | :------: | :------: | :------: | :------: | :----------------: | :----: | :----: | :------------------------------: | -----------------------------: | -----------------------------: |
-|          1x1x8          | MultiStep |  224x224   |  8   | ResNet50 | ImageNet |  34.85   |  66.37   | 25 clips x 10 crop | 102.7G | 24.33M | [config](/configs/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb_20221122-ad2dbb37.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb.log) |
-|         1x1x16          | MultiStep |  224x224   |  8   | ResNet50 | ImageNet |  36.55   |  68.00   | 25 clips x 10 crop | 102.7G | 24.33M | [config](/configs/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb_20221122-ee13c8e2.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb.log) |
+| frame sampling strategy | scheduler | resolution | gpus | backbone | pretrain | top1 acc | top5 acc |  testing protocol  | FLOPs  | params |                                  config                                   |       ckpt |       log |
+| :---------------------: | :-------: | :--------: | :--: | :------: | :------: | :------: | :------: | :----------------: | :----: | :----: | :-----------------------------------------------------------------------: | ---------: | --------: |
+|          1x1x8          | MultiStep |  224x224   |  8   | ResNet50 | ImageNet |  35.40   |  66.98   | 25 clips x 10 crop | 102.7G | 24.33M | [config](/configs/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-50e_sthv2-rgb.py) | [ckpt](<>) | [log](<>) |
+|         1x1x16          | MultiStep |  224x224   |  8   | ResNet50 | ImageNet |  36.91   |  68.77   | 25 clips x 10 crop | 102.7G | 24.33M | [config](/configs/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x16-50e_sthv2-rgb.py) | [ckpt](<>) | [log](<>) |
 
 ### Using backbones from 3rd-party in TSN