In this work, a part fusion network (PFNet) is proposed to fuse image parts for classification, which consists of a Fast R-CNN head to extract part features and ...
PFNet: a novel part fusion network for fine-grained visual categorization
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Dec 15, 2018 · In this paper, without extra annotation, we propose a novel part fusion network (PFNet) to effectively fuse discriminative image parts for classification.
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In this paper, without extra annotation, we propose a novel part fusion network (PFNet) to effectively fuse discriminative image parts for classification.
In this paper, without extra annotation, we propose a novel part fusion network (PFNet) to effectively fuse discriminative image parts for classification.
Abstract—Previous work in fine-grained image categorization focuses on integrating multiple deep CNN models or complicated attention mechanism, resulting in ...
PFNet: A Novel Part Fusion Network for Fine-Grained Image Categorization ... Increasingly Specialized Perception Network for Fine-Grained Visual Categorization ...
This paper proposes to apply visual attention to fine-grained classification task using deep neural network and achieves the best accuracy under the weakest ...
In this paper, without extra annotation, we propose a novel part fusion network (PFNet) to effectively fuse discriminative image parts for classification.
In this paper, without extra annotation, we propose a novel part fusion network (PFNet) to effectively fuse discriminative image parts for classification.
Easy parts, hard parts and background parts are proposed and discriminatively used for classification. Moreover, part-level features are fused to form an image- ...