Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
metafile.yml 3.18 KB
Newer Older
Sugon_ldc's avatar
add model TSM  
Sugon_ldc committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80 
Collections:
- Name: TANet
  README: configs/recognition/tanet/README.md
  Paper:
    URL: https://arxiv.org/abs/2005.06803
    Title: "TAM: Temporal Adaptive Module for Video Recognition"
Models:
- Config: configs/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb.py
  In Collection: TANet
  Metadata:
    Architecture: TANet
    Batch Size: 8
    Epochs: 100
    FLOPs: 43065983104
    Parameters: 25590320
    Pretrained: ImageNet
    Resolution: short-side 320
    Training Data: Kinetics-400
    Training Resources: 8 GPUs
  Modality: RGB
  Name: tanet_r50_dense_1x1x8_100e_kinetics400_rgb
  Results:
  - Dataset: Kinetics-400
    Metrics:
      Top 1 Accuracy: 76.28
      Top 5 Accuracy: 92.6
    Task: Action Recognition
  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb/tanet_r50_dense_1x1x8_100e_kinetics400_rgb_20210219.json
  Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb/tanet_r50_dense_1x1x8_100e_kinetics400_rgb_20210219.log
  Weights: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_dense_1x1x8_100e_kinetics400_rgb/tanet_r50_dense_1x1x8_100e_kinetics400_rgb_20210219-032c8e94.pth
- Config: configs/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb.py
  In Collection: TANet
  Metadata:
    Architecture: TANet
    Batch Size: 8
    Epochs: 50
    FLOPs: 32972787840
    Parameters: 25127246
    Pretrained: ImageNet
    Resolution: height 100
    Training Data: SthV1
    Training Resources: 8 GPUs
  Modality: RGB
  Name: tanet_r50_1x1x8_50e_sthv1_rgb
  Results:
  - Dataset: SthV1
    Metrics:
      Top 1 Accuracy: 49.58
      Top 1 Accuracy (efficient): 47.34
      Top 5 Accuracy: 77.31
      Top 5 Accuracy (efficient): 75.72
    Task: Action Recognition
  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log.json
  Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/20210606_205006.log
  Weights: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x8_50e_sthv1_rgb/tanet_r50_1x1x8_50e_sthv1_rgb_20210630-f4a48609.pth
- Config: configs/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb.py
  In Collection: TANet
  Metadata:
    Architecture: TANet
    Batch Size: 8
    Epochs: 50
    FLOPs: 65946542336
    Parameters: 25134670
    Pretrained: ImageNet
    Resolution: height 100
    Training Data: SthV1
    gpus: 4
  Modality: RGB
  Name: tanet_r50_1x1x16_50e_sthv1_rgb
  Results:
  - Dataset: SthV1
    Metrics:
      Top 1 Accuracy: 50.91
      Top 1 Accuracy (efficient): 49.05
      Top 5 Accuracy: 79.13
      Top 5 Accuracy (efficient): 77.90
    Task: Action Recognition
  Training Json Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.json
  Training Log: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb.log
  Weights: https://download.openmmlab.com/mmaction/recognition/tanet/tanet_r50_1x1x16_50e_sthv1_rgb/tanet_r50_1x1x16_50e_sthv1_rgb_20211202-370c2128.pth