Name
Abstract | ||
|---|---|---|
We present an end-to-end machine-human image annotation system where each component can be attached in a plug-and-play fashion. These components include Feature Extraction, Machine Classifier, Task Sampling and Crowd Consensus. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Computer Vision and Pattern Recognition | Computer vision,Automatic image annotation,Pattern recognition,Computer science,Image retrieval,Feature extraction,Plug and play,Artificial intelligence,Sampling (statistics),Classifier (linguistics) |
DocType | Volume | Citations |
Journal | abs/1609.02271 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anand Sriraman | 1 | 2 | 1.73 |
| Mandar Kulkarni | 2 | 40 | 5.21 |
| Rahul Kumar | 3 | 0 | 0.34 |
| Kanika Kalra | 4 | 0 | 1.01 |
| Purushotam G. Radadia | 5 | 4 | 2.14 |
| Shirish Subhash Karande | 6 | 8 | 5.26 |