Detecting the PoleVault action segments on the timeline of video
Detecting the GolfSwing action segments on the timeline of video
Dataset | Video Number | train | validation | test | instances | classes |
---|---|---|---|---|---|---|
THUMOS14 | 413 | - | 200 | 213 | 6,363 | 20 |
ActivityNet-v1.3 | 19994 | 10,024 | 4,926 | 5,044 | 30791 | 200 |
Method | Conference | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] |
---|---|---|---|---|---|---|---|---|
DBS | AAAI-2019 | 56.7 | 54.7 | 50.6 | 43.1 | 34.3 | 24.4 | 14.7 |
BSN | ECCV-2018 | - | - | 53.5 | 45.0 | 36.9 | 28.4 | 20.0 |
AGCN | AAAI-2020 | 59.3 | 59.6 | 57.1 | 51.6 | 38.6 | 28.9 | 17.0 |
GTAN | CVPR-2019 | 69.1 | 63.7 | 57.8 | 47.2 | 38.8 | - | - |
BMN | ICCV-2019 | - | - | 56.0 | 47.4 | 38.8 | 29.7 | 20.5 |
DBG | AAAI-2020 | - | - | 57.8 | 49.4 | 39.8 | 30.2 | 21.7 |
TAL-Net | CVPR-2018 | 59.8 | 57.1 | 53.2 | 48.5 | 42.8 | 33.8 | 20.8 |
PGCN | ICCV-2019 | 69.5 | 67.8 | 63.6 | 57.8 | 49.1 | - | - |
PBRNet | AAAI-2020 | - | - | 58.5 | 54.6 | 51.3 | 41.8 | 29.5 |
G-TAD | CVPR-2020 | - | - | 66.4 | 60.4 | 51.6 | 37.6 | 22.9 |
our method 1 | - | 74.5 | 72.3 | 68.6 | 62.8 | 54.4 | 41.4 | 27.8 |
our method 2 | - | 75.7 | 73.6 | 70.0 | 64.8 | 55.3 | 42.3 | 27.2 |
our method 3 | - | 77.2 | 75.2 | 71.4 | 66.2 | 58.2 | 44.4 | 27.2 |
Method | Conference | [email protected] | [email protected] | [email protected] | IoU@Avg |
---|---|---|---|---|---|
AGCN | AAAI-2020 | 30.4 | - | - | - |
TAL-Net | CVPR-2018 | 38.23 | 18.30 | 1.30 | 20.22 |
DBS | CVPR-2019 | 43.2 | 25.8 | 6.1 | 26.1 |
PGCN | ICCV-2019 | 42.90 | 28.14 | 2.47 | 26.99 |
BSN | ECCV-2018 | 46.45 | 29.96 | 8.02 | 30.03 |
BMN | ICCV-2019 | 50.07 | 34.78 | 8.29 | 33.85 |
G-TAD | CVPR-2020 | 50.36 | 34.60 | 9.02 | 34.09 |
GTAN | CVPR-2019 | 52.61 | 34.14 | 8.91 | 34.31 |
PBRNet | AAAI-2020 | 53.96 | 34.97 | 8.98 | 35.01 |
- [DBG] Fast Learning of Temporal Action Proposal via Dense Boundary Generator - Chunming Lin et al,
AAAI 2020
. [code] - [G-TAD] G-TAD: Sub-Graph Localization for Temporal Action Detection - Mengmeng Xu et al,
CVPR 2020
. [code] - [PBRNet] Progressive Boundary Refinement Network for Temporal Action Detection - Qinying Liu et al,
AAAI 2020
. - [AGCN] Graph Attention based Proposal 3D ConvNets for Action Detection - Jun Li et al,
AAAI 2020
.
- [PGCN] Graph Convolutional Networks for Temporal Action Localization - Runhao Zeng et al,
ICCV 2019
. [code] - [RAM] Relation Attention for Temporal Action Localization - Peihao Chen et al,
TMM 2019
. - [BMN] BMN: Boundary-Matching Network for Temporal Action Proposal Generation - Tianwei Lin et al,
ICCV 2019
. - [GTAN] Gaussian Temporal Awareness Networks for Action Localization - Fuchen Long et al,
CVPR 2019
. - [DBS] Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos - Zhanning Gao et al,
AAAI 2019
. - [C-TCN] Deep Concept-wise Temporal Convolutional Networks for Action Localization - Xin Li et al,
arXiv 2019
.