Two-Stream Convolutional Networks for Action Recognition in Videos
GPTKB entity
Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
gptkb:Andrew_Zisserman
gptkb:Karen_Simonyan |
| gptkbp:citation |
highly cited
|
| gptkbp:field |
computer vision
action recognition |
| gptkbp:hasMethod |
two-stream convolutional network architecture
|
| gptkbp:influenced |
deep learning for video analysis
|
| gptkbp:publicationYear |
2014
|
| gptkbp:publishedIn |
gptkb:Advances_in_Neural_Information_Processing_Systems
|
| gptkbp:trainer |
gptkb:HMDB-51
gptkb:UCF-101 |
| gptkbp:url |
https://arxiv.org/abs/1406.2199
|
| gptkbp:uses |
optical flow
RGB frames spatial stream temporal stream |
| gptkbp:bfsParent |
gptkb:Karen_Simonyan
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Two-Stream Convolutional Networks for Action Recognition in Videos
|