搜索action recognition共有 25 个结果
1
Action recognition method with feature sampling and motion information enhancement
2023年第12期 : 3848-3853
doi:10.19734/j.issn.1001-3695.2023.05.0216
2
Scene relation graph network for group activity recognition
2023年第10期 : 3173-3179
doi:10.19734/j.issn.1001-3695.2022.12.0828
3
Spatial temporal enhancement interaction network for compositional action recognition
2023年第7期 : 2192-2197,2216
doi:10.19734/j.issn.1001-3695.2022.10.0526
4
Review of video action recognition under weak supervision and few-shot learning
2023年第6期 : 1629-1635
doi:10.19734/j.issn.1001-3695.2022.10.0506
5
Graph convolutional networks based on structural errors
2023年第1期 : 155-159
doi:10.19734/j.issn.1001-3695.2022.05.0279
6
Action recognition based on adaptive partition and association of key-frame nodes
2022年第11期 : 3498-3502,3508
doi:10.19734/j.issn.1001-3695.2022.02.0123
7
Review of video action recognition technology based on deep learning
2022年第9期 : 2561-2569
doi:10.19734/j.issn.1001-3695.2022.03.0077
8
Research on radar action recognition method based on FT_SSIM and ICAGA_CNN in small sample scenes
2022年第4期 : 1105-1110
doi:10.19734/j.issn.1001-3695.2021.09.0378
9
Lightweight multi-information graph convolution neural network action recognition method
2022年第4期 : 1247-1252
doi:10.19734/j.issn.1001-3695.2021.07.0329
10
Review of research on human action recognition methods
2022年第3期 : 651-660
doi:10.19734/j.issn.1001-3695.2021.07.0350
11
2D/3D skeleton action recognition based on posture transformation and posture fusion
2022年第3期 : 900-905
doi:10.19734/j.issn.1001-3695.2021.07.0286
12
Review of human action recognition based on improved deep learning methods
2022年第2期 : 342-348
doi:10.19734/j.issn.1001-3695.2021.07.0296
13
Skeleton recognition model based on enhanced graph convolution
2021年第12期 : 3791-3795,3825
doi:10.19734/j.issn.1001-3695.2021.04.0154
14
Pseudo-3D residual network based on minimum intra-class variance
2021年第12期 : 3801-3807
doi:10.19734/j.issn.1001-3695.2021.04.0129
15
Action recognition based on Hough transform of skeletal features
2021年第12期 : 3831-3834,3840
doi:10.19734/j.issn.1001-3695.2021.03.0125
16
Feature learning and action recognition method based on depth information
2021年第11期 : 3446-3450
doi:10.19734/j.issn.1001-3695.2021.01.0067
17
GSTIN with spatiotemporal feature fusion for video action recognition
2021年第8期 : 2479-2484
doi:10.19734/j.issn.1001-3695.2020.08.0392
18
T-STAM: end-to-end action recognition model based on two-stream network with spatio-temporal attention mechanism
2021年第4期 : 1235-1239,1276
doi:10.19734/j.issn.1001-3695.2020.02.0077
19
Action recognition based on deep aggregation feature from multi-temporal segmentations
2021年第2期 : 584-586,590
doi:10.19734/j.issn.1001-3695.2019.10.0645
20
Survey of human action recognition algorithms based on video
2020年第11期 : 3213-3219
doi:10.19734/j.issn.1001-3695.2019.08.0253
21
Lightweight human action recognition model based on deep learning
2020年第8期 : 2547-2551
doi:10.19734/j.issn.1001-3695.2019.02.0094
22
Human action recognition based on deep learning
2020年第1期 : 304-307,316
doi:10.19734/j.issn.1001-3695.2018.05.0499
23
Improved deep convolutional neural network for human action recognition
2019年第10期 : 3107-3111
doi:10.19734/j.issn.1001-3695.2018.06.0361
24
Survey of human action recognition algorithm based on vision
2019年第7期 : 1927-1934
doi:10.19734/j.issn.1001-3695.2018.04.0259
25
Action recognition based on improved deep convolutional neural network
2019年第3期 : 945-949,953
doi:10.19734/j.issn.1001-3695.2017.10.1017