Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
research
|
| gptkbp:application |
image classification
object detection |
| gptkbp:challenge |
inter-class similarity
intra-class variation |
| gptkbp:field |
computer vision
|
| gptkbp:focus |
distinguishing similar categories
|
| gptkbp:goal |
improve accuracy in subtle category differences
|
| https://www.w3.org/2000/01/rdf-schema#label |
Fine-Grained Detectors
|
| gptkbp:method |
attention mechanisms
part-based models region proposal networks |
| gptkbp:relatedTo |
convolutional neural networks
deep learning feature extraction |
| gptkbp:trainer |
gptkb:Stanford_Cars
gptkb:FGVC-Aircraft gptkb:CUB-200 |
| gptkbp:usedFor |
bird species identification
car model recognition plant species classification |
| gptkbp:usedIn |
fine-grained visual recognition
|
| gptkbp:bfsParent |
gptkb:ND280
|
| gptkbp:bfsLayer |
6
|