diff options
Diffstat (limited to 'scraper/datasets/scholar/entries/Recognize Complex Events from Static Images by Fusing Deep Channels.csv')
| -rw-r--r-- | scraper/datasets/scholar/entries/Recognize Complex Events from Static Images by Fusing Deep Channels.csv | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/scraper/datasets/scholar/entries/Recognize Complex Events from Static Images by Fusing Deep Channels.csv b/scraper/datasets/scholar/entries/Recognize Complex Events from Static Images by Fusing Deep Channels.csv new file mode 100644 index 00000000..d632534a --- /dev/null +++ b/scraper/datasets/scholar/entries/Recognize Complex Events from Static Images by Fusing Deep Channels.csv @@ -0,0 +1 @@ +Recognize complex events from static images by fusing deep channels|http://scholar.google.com/https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_054.pdf|2015|62|18|14301800130435949971|http://scholar.google.com/https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_054.pdf|http://scholar.google.com/scholar?cites=14301800130435949971&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=14301800130435949971&hl=en&as_sdt=0,5|None|A considerable portion of web images capture events that occur in our personal lives or social activities. In this paper, we aim to develop an effective method for recognizing events from such images. Despite the sheer amount of study on event recognition, most existing methods rely on videos and are not directly applicable to this task. Generally, events are complex phenomena that involve interactions among people and objects, and therefore analysis of event photos requires techniques that can go beyond recognizing individual … |