Browse > Computer Vision > Image Classification > Fine-Grained Image Classification

# Fine-Grained Image Classification Edit

7 papers with code · 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.

Trend Dataset Best Method Paper title Paper Code Compare

# AutoAugment: Learning Augmentation Policies from Data

24 May 2018tensorflow/models

In our implementation, we have designed a search space where a policy consists of many sub-policies, one of which is randomly chosen for each image in each mini-batch.

51,807

# Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization

Towards addressing this problem, we propose an iterative matrix square root normalization method for fast end-to-end training of global covariance pooling networks.

308

# Pairwise Confusion for Fine-Grained Visual Classification

Fine-Grained Visual Classification (FGVC) datasets contain small sample sizes, along with significant intra-class variation and inter-class similarity.

133

# Attribute-Aware Attention Model for Fine-grained Representation Learning

2 Jan 2019iamhankai/attribute-aware-attention

Based on the considerations above, we propose a novel Attribute-Aware Attention Model ($A^3M$), which can learn local attribute representation and global category representation simultaneously in an end-to-end manner.

63

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

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.

57

# Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

14 Aug 2018HCPLab-SYSU/HSE

In this work, we investigate simultaneously predicting categories of different levels in the hierarchy and integrating this structured correlation information into the deep neural network by developing a novel Hierarchical Semantic Embedding (HSE) framework.

51

# A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

Updated on 24/09/2015: This update provides preliminary experiment results for fine-grained classification on the surveillance data of CompCars.

0