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Fine-Grained Visual Categorization

11 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 VISUAL CATEGORIZATION

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

Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)

20 Mar 2020ZF1044404254/TBMSL-Net

ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the most authoritative academic competitions in the field of Computer Vision (CV) in recent years, but it can not achieve good result to directly migrate the champions of the annual competition, to fine-grained visual categorization (FGVC) tasks.

FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED IMAGE RECOGNITION FINE-GRAINED VISUAL CATEGORIZATION OBJECT RECOGNITION

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

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

ECCV 2018 YBZh/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

Feathers dataset for Fine-Grained Visual Categorization

18 Apr 2020feathers-dataset/feathersv1-dataset

This paper introduces a novel dataset FeatherV1, containing 28, 272 images of feathers categorized by 595 bird species.

FINE-GRAINED VISUAL CATEGORIZATION FINE-GRAINED VISUAL RECOGNITION

iCassava 2019 Fine-Grained Visual Categorization Challenge

8 Aug 2019mjvakili/cassava_disease_classification

Viral diseases are major sources of poor yields for cassava, the 2nd largest provider of carbohydrates in Africa. At least 80% of small-holder farmer households in Sub-Saharan Africa grow cassava.

FINE-GRAINED VISUAL CATEGORIZATION