Projects per year
Abstract
CNNs have massively improved performance in object detection in photographs. However research into object detection in artwork remains limited. We show state-of-the-art performance on a challenging dataset, People-Art, which contains people from photos, cartoons and 41 different artwork movements. We achieve this high performance by finetuning a CNN for this task, thus also demonstrating that training CNNs on photos results in overfitting for photos: only the first three or four layers transfer from photos to artwork. Although the CNN’s performance is the highest yet, it remains less than 60% AP, suggesting further work is needed for the cross-depiction problem.
Original language | English |
---|---|
Title of host publication | Computer Vision - ECCV 2016 Workshops. ECCV 2016. |
Editors | Gang Hua, Hervé Jégou |
Publisher | Springer Verlag |
Pages | 825-841 |
Number of pages | 17 |
ISBN (Print) | 9783319466033 |
DOIs | |
Publication status | Published - 18 Sep 2016 |
Event | 14th European Conference on Computer Vision, ECCV 2016 - Amsterdam, Netherlands Duration: 8 Oct 2016 → 16 Oct 2016 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 9913 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 14th European Conference on Computer Vision, ECCV 2016 |
---|---|
Country | Netherlands |
City | Amsterdam |
Period | 8/10/16 → 16/10/16 |
Keywords
- CNNs
- Cross-depiction problem
- Object recognition
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Fingerprint Dive into the research topics of 'Detecting people in artwork with CNNs'. Together they form a unique fingerprint.
Projects
- 1 Active
-
Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Campbell, N., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., O'Neill, E., Richardt, C. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council