Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition

We investigate the localization of subtle yet discriminative parts for fine-grained image recognition. Based on the observation that such parts typically exist within a hierarchical structure (e.g., from a coarse-scale "head" to a fine-scale "eye" when recognizing bird species),...

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Veröffentlicht in:	IEEE transactions on image processing 2020-01, Vol.29, p.476-488
Hauptverfasser:	Zheng, Heliang, Fu, Jianlong, Zha, Zheng-Jun, Luo, Jiebo, Mei, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Artificial neural networks Beak Birds Convolutional neural networks Feature extraction Fine-grained recognition Head Hierarchies Image recognition Object recognition part hierarchies progressive attention Proposals Structural hierarchy
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