Research Article
Knowledge Graph Representation Fusion Framework for Fine-Grained Object Recognition in Smart Cities
Table 2
Experimental results on Caltech-UCSD Bird dataset.
| | Method | Bounding box annotations | Part annotations | Accuracy () |
| | Part-RCNN [18] | ✓ | ✓ | 76.4 | | SPDA-CNN [36] | ✓ | ✓ | 85.14 | | PN-CNN [28] | ✓ | ✓ | 85.4 | | CB-CNN [34] | ✓ | | 84.6 | | FCAN [21] | ✓ | | 84.7 | | Bilinear CNN [33] | | | 84.1 | | ST-CNN [43] | 84.1 | | CVL [46] | 85.55 | | A3M [53] | 86.2 | | PC-DenseNet-161 [54] | 86.87 | | KERL [23] | 87.0 | | SEF [55] | 87.3 | | Ensemble T-CNN [24] | 87.3 | | TASN [56] | 87.9 | | HSE [57] | 88.1 | | GCL [58] | 88.3 | | Ours | | | 88.49 |
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