Name
Title | ||
|---|---|---|
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition |
Abstract | ||
|---|---|---|
Indoor scene recognition is a multi-faceted and challenging problem due to the diverse intra-class variations and the confusing inter-class similarities that characterize such scenes. This paper presents a novel approach that exploits rich mid-level convolutional features to categorize indoor scenes. Traditional convolutional features retain the global spatial structure, which is a desirable prope... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2016.2567076 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Feature extraction,Convolutional codes,Australia,Electronic mail,Neural networks,Character recognition,Image recognition | Categorization,Computer vision,Data set,Feature vector,Pattern recognition,Convolutional neural network,Computer science,Exploit,Artificial intelligence,Deep learning,Discriminative model,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
25 | 7 | 1057-7149 |
Citations | PageRank | References |
15 | 0.58 | 45 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salman Khan | 1 | 387 | 41.05 |
| Munawar Hayat | 2 | 315 | 19.30 |
| M. Bennamoun | 3 | 3197 | 167.23 |
| Roberto Togneri | 4 | 814 | 48.33 |
| Ferdous Ahmed Sohel | 5 | 623 | 31.78 |