Fine-Grained Image Classification

Fine-Grained Image Classification is a task in computer vision where the goal is to classify images into subcategories within a larger category. For example, classifying different species of birds or different types of flowers. This task is considered to be fine-grained because it requires the model to distinguish between subtle differences in visual appearance and patterns, making it more challenging than regular image classification tasks.

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 201–225 of 353 papers

Title	Date	Tasks	Status
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification	May 9, 2024	Fine-Grained Image ClassificationImage Augmentation	—Unverified
Understanding More about Human and Machine Attention in Deep Neural Networks	Jun 20, 2019	Fine-Grained Image ClassificationImage Classification	—Unverified
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification	Jul 2, 2024	Fine-Grained Image Classificationimage-classification	—Unverified
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification	Jun 1, 2015	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding	Nov 16, 2021	Fine-Grained Image ClassificationImage Classification	—Unverified
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification	Apr 15, 2017	ClassificationFine-Grained Image Classification	—Unverified
Interpretable Attention Guided Network for Fine-grained Visual Classification	Mar 8, 2021	ClassificationFine-Grained Image Classification	—Unverified
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition	Jul 2, 2018	Fine-Grained Image ClassificationFine-Grained Image Recognition	—Unverified
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization	May 18, 2022	Fine-Grained Image ClassificationImage Augmentation	—Unverified
Leaf Cultivar Identification via Prototype-enhanced Learning	May 5, 2023	Fine-Grained Image Classification	—Unverified
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection	Jun 19, 2021	Fine-Grained Image ClassificationNovelty Detection	—Unverified
Learning from Web Data: the Benefit of Unsupervised Object Localization	Dec 21, 2018	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Learning Granularity-Aware Convolutional Neural Network for Fine-Grained Visual Classification	Mar 4, 2021	Fine-Grained Image ClassificationGeneral Classification	—Unverified
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification	May 29, 2024	Decision MakingFine-Grained Image Classification	—Unverified
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition	Jul 1, 2017	Fine-Grained Image ClassificationFine-Grained Image Recognition	—Unverified
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification	Aug 4, 2019	ClassificationFew-Shot Learning	—Unverified
Maximum-Entropy Fine Grained Classification	Dec 1, 2018	ClassificationDiversity	—Unverified
Maximum-Entropy Fine-Grained Classification	Sep 16, 2018	ClassificationDiversity	—Unverified
Maximum Entropy Regularization and Chinese Text Recognition	Jul 9, 2020	Fine-Grained Image Classificationimage-classification	—Unverified
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention	Jan 7, 2025	ClassificationFine-Grained Image Classification	—Unverified
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification	Feb 27, 2015	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics	Jan 7, 2020	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Natural World Distribution via Adaptive Confusion Energy Regularization	Jan 1, 2021	Fine-Grained Image Classification	—Unverified
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification	Jun 13, 2021	Few-Shot LearningFine-Grained Image Classification	—Unverified
Nonparametric Part Transfer for Fine-grained Recognition	Jun 1, 2014	Fine-Grained Image ClassificationImage Segmentation	—Unverified

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All datasets Stanford Cars FGVC-Aircraft CUB-200-2011 NABirds Oxford 102 Flowers Stanford Dogs Oxford-IIIT Pets Caltech-101 Food-101 Oxford-IIIT Pet Dataset CompCars Bird-225

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TResnet-L + PMD	Accuracy	97.3	—	Unverified
2	CMAL-Net	Accuracy	97.1	—	Unverified
3	I2-HOFI	Accuracy	96.92	—	Unverified
4	TResNet-L + ML-Decoder	Accuracy	96.41	—	Unverified
5	DAT	Accuracy	96.2	—	Unverified
6	ALIGN	Accuracy	96.13	—	Unverified
7	SR-GNN	Accuracy	96.1	—	Unverified
8	EffNet-L2 (SAM)	Accuracy	95.96	—	Unverified
9	SaSPA + CAL	Accuracy	95.72	—	Unverified
10	CAP	Accuracy	95.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	I2-HOFI	Accuracy	96.42	—	Unverified
2	SR-GNN	Accuracy	95.4	—	Unverified
3	Inceptionv4	Accuracy	95.11	—	Unverified
4	CAP	Accuracy	94.9	—	Unverified
5	CSQA-Net	Accuracy	94.7	—	Unverified
6	CMAL-Net	Accuracy	94.7	—	Unverified
7	TBMSL-Net	Accuracy	94.7	—	Unverified
8	PART	Accuracy	94.6	—	Unverified
9	SaSPA + CAL	Accuracy	94.5	—	Unverified
10	AENet	Accuracy	94.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HERBS	Accuracy	93.1	—	Unverified
2	PIM	Accuracy	92.8	—	Unverified
3	MDCM	Accuracy	92.5	—	Unverified
4	IELT	Accuracy	91.8	—	Unverified
5	CAP	Accuracy	91.8	—	Unverified
6	SFETrans	Accuracy	91.8	—	Unverified
7	SWAG (ViT H/14)	Accuracy	91.7	—	Unverified
8	ViT-NeT	Accuracy	91.7	—	Unverified
9	TransFG	Accuracy	91.7	—	Unverified
10	I2-HOFI	Accuracy	91.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HERBS	Accuracy	93	—	Unverified
2	MetaFormer (MetaFormer-2,384)	Accuracy	93	—	Unverified
3	PIM	Accuracy	92.8	—	Unverified
4	MPSA	Accuracy	92.5	—	Unverified
5	ViT-NeT (SwinV2-B)	Accuracy	92.5	—	Unverified
6	CSQA-Net	Accuracy	92.3	—	Unverified
7	I2-HOFI	Accuracy	92.12	—	Unverified
8	MDCM	Accuracy	92	—	Unverified
9	CGL	Accuracy	91.7	—	Unverified
10	SR-GNN	Accuracy	91.2	—	Unverified