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Fine-Grained Image Classification

37 papers with code ยท Computer Vision

The Fine-Grained Image Classification task focuses on differentiating between hard-to-distinguish object classes, such as species of birds, flowers, or animals; and identifying the makes or models of vehicles.

( Image credit: Looking for the Devil in the Details )

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Latest papers without code

Maximum Entropy Regularization and Chinese Text Recognition

9 Jul 2020

Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem.

FINE-GRAINED IMAGE CLASSIFICATION

RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification

22 Jun 2020

We introduce RP2K, a new large-scale retail product dataset for fine-grained image classification.

FINE-GRAINED IMAGE CLASSIFICATION INFORMATION RETRIEVAL OBJECT RECOGNITION

Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning

CVPR 2020

Existing weakly supervised fine-grained image recognition (WFGIR) methods usually pick out the discriminative regions from the high-level feature maps directly.

FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED IMAGE RECOGNITION

Fine-Grained Visual Classification with Efficient End-to-end Localization

11 May 2020

The term fine-grained visual classification (FGVC) refers to classification tasks where the classes are very similar and the classification model needs to be able to find subtle differences to make the correct prediction.

FINE-GRAINED IMAGE CLASSIFICATION

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

6 Apr 2020

In this paper, we propose Attribute Mix, a data augmentation strategy at attribute level to expand the fine-grained samples.

DATA AUGMENTATION FINE-GRAINED IMAGE CLASSIFICATION

Group Based Deep Shared Feature Learning for Fine-grained Image Classification

4 Apr 2020

Given that images from distinct classes in fine-grained classification share significant features of interest, we present a new deep network architecture that explicitly models shared features and removes their effect to achieve enhanced classification results.

FINE-GRAINED IMAGE CLASSIFICATION

Learning Attentive Pairwise Interaction for Fine-Grained Classification

24 Feb 2020

These distinct gate vectors inherit mutual context on semantic differences, which allow API-Net to attentively capture contrastive clues by pairwise interaction between two images.

FINE-GRAINED IMAGE CLASSIFICATION

Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification

AAAI-2020 2020

The key of Weakly Supervised Fine-grained Image Classification (WFGIC) is how to pick out the discriminative regions and learn the discriminative features from them.

FINE-GRAINED IMAGE CLASSIFICATION

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification

9 Feb 2020

Classifying the sub-categories of an object from the same super-category (e. g. bird species, car and aircraft models) in fine-grained visual classification (FGVC) highly relies on discriminative feature representation and accurate region localization.

FINE-GRAINED IMAGE CLASSIFICATION