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Fine-Grained Visual Categorization

6 papers with code · Computer Vision

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FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery

CVPR 2019 kkanshul/finegan

We propose FineGAN, a novel unsupervised GAN framework, which disentangles the background, object shape, and object appearance to hierarchically generate images of fine-grained object categories.

CONDITIONAL IMAGE GENERATION FINE-GRAINED VISUAL CATEGORIZATION IMAGE CLUSTERING

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

CVPR 2018 richardaecn/cvpr18-inaturalist-transfer

We propose a measure to estimate domain similarity via Earth Mover's Distance and demonstrate that transfer learning benefits from pre-training on a source domain that is similar to the target domain by this measure.

FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED VISUAL CATEGORIZATION TRANSFER LEARNING

Cross-X Learning for Fine-Grained Visual Categorization

ICCV 2019 cswluo/CrossX

Recognizing objects from subcategories with very subtle differences remains a challenging task due to the large intra-class and small inter-class variation.

FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED VISUAL CATEGORIZATION

Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

ECCV 2018 YabinZhang1994/MetaFGNet

Fine-grained visual categorization (FGVC) is challenging due in part to the fact that it is often difficult to acquire an enough number of training samples.

FINE-GRAINED VISUAL CATEGORIZATION META-LEARNING

VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization

ICCV 2017 ustc-vim/vegfru

While the existing datasets for FGVC are mainly focused on animal breeds or man-made objects with limited labelled data, VegFru is a larger dataset consisting of vegetables and fruits which are closely associated with the daily life of everyone.

FINE-GRAINED VISUAL CATEGORIZATION

FoodX-251: A Dataset for Fine-grained Food Classification

14 Jul 2019karansikka1/iFood_2019

Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models.

FINE-GRAINED VISUAL CATEGORIZATION