Fine-Grained Image Classification
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.
State-of-the-art leaderboards
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Greatest papers with code
AutoAugment: Learning Augmentation Policies from Data
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.
SOTA for Fine-Grained Image Classification on Oxford 102 Flowers (Top-1 Error Rate metric )
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.
#2 best model for
Fine-Grained Image Classification
on Stanford Cars
FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED IMAGE RECOGNITION
Pairwise Confusion for Fine-Grained Visual Classification
ECCV 2018
• abhimanyudubey/confusion
• 
Fine-Grained Visual Classification (FGVC) datasets contain small sample sizes, along with significant intra-class variation and inter-class similarity.
Attribute-Aware Attention Model for Fine-grained Representation Learning
• iamhankai/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.
FINE-GRAINED IMAGE CLASSIFICATION IMAGE RETRIEVAL PERSON RE-IDENTIFICATION REPRESENTATION LEARNING
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
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding
• HCPLab-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.
#4 best model for
Fine-Grained Image Classification
on CUB-200-2011
FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED IMAGE RECOGNITION REPRESENTATION LEARNING
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
CVPR 2015 • seanren96/Object-Detection
Updated on 24/09/2015: This update provides preliminary experiment results for fine-grained classification on the surveillance data of CompCars.
#2 best model for
Fine-Grained Image Classification
on CompCars