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A Survey on Fine-Grained Image Classification: Recent Advances, Challenges, and Opportunities

https://doi.org/10.2139/ssrn.4877324
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inferredcites →https://doi.org/10.1007/978-3-030-01219-9_22openalex-extracted
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_4openalex-extracted
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-01258-8_5openalex-extracted
Pairwise Confusion for Fine-Grained Visual Classification
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_26openalex-extracted
Learning to Navigate for Fine-Grained Classification
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_49openalex-extracted
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_10openalex-extracted
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches
inferredcites →https://doi.org/10.1007/978-3-030-58604-1_34openalex-extracted
Volumetric Transformer Networks
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_54openalex-extracted
Part-Based R-CNNs for Fine-Grained Category Detection
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_29openalex-extracted
Food-101 – Mining Discriminative Components with Random Forests
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_9openalex-extracted
Searching the World’s Herbaria: A System for Visual Identification of Plant Species
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_32openalex-extracted
Visual Recognition with Humans in the Loop
inferredcites →https://doi.org/10.1007/s11263-013-0636-xopenalex-extracted
Image Classification with the Fisher Vector: Theory and Practice
inferredcites →https://doi.org/10.1016/j.patcog.2019.05.002openalex-extracted
Saliency for fine-grained object recognition in domains with scarce training data
inferredcites →https://doi.org/10.1016/j.patcog.2020.107348openalex-extracted
Few-shot activity recognition with cross-modal memory network
inferredcites →https://doi.org/10.1016/j.patcog.2020.107765openalex-extracted
Behavior regularized prototypical networks for semi-supervised few-shot image classification
inferredcites →https://doi.org/10.1016/j.patcog.2020.107792openalex-extracted
MPPCANet: A feedforward learning strategy for few-shot image classification
inferredcites →https://doi.org/10.1016/j.patcog.2020.107797openalex-extracted
Temperature network for few-shot learning with distribution-aware large-margin metric
inferredcites →https://doi.org/10.1016/j.patcog.2021.107826openalex-extracted
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
inferredcites →https://doi.org/10.1016/j.patcog.2021.107894openalex-extracted
Jointly learning compact multi-view hash codes for few-shot FKP recognition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108111openalex-extracted
MetaMed: Few-shot medical image classification using gradient-based meta-learning
inferredcites →https://doi.org/10.1016/j.patcog.2021.108118openalex-extracted
Spatial reasoning for few-shot object detection
inferredcites →https://doi.org/10.1016/j.patcog.2021.108219openalex-extracted
Learning sequentially diversified representations for fine-grained categorization
inferredcites →https://doi.org/10.1016/j.patcog.2022.108662openalex-extracted
Learning multi-level weight-centric features for few-shot learning
inferredcites →https://doi.org/10.1016/j.patcog.2023.109547openalex-extracted
AA-trans: Core attention aggregating transformer with information entropy selector for fine-grained visual classification
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-extracted
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2006.42openalex-extracted
A Visual Vocabulary for Flower Classification
inferredcites →https://doi.org/10.1109/cvpr.2012.6248364openalex-extracted
Pose pooling kernels for sub-category recognition
inferredcites →https://doi.org/10.1109/cvpr.2013.81openalex-extracted
Fine-Grained Crowdsourcing for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.115openalex-extracted
Similarity Comparisons for Interactive Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298658openalex-extracted
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298775openalex-extracted
Deep LAC: Deep localization, alignment and classification for fine-grained recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7299194openalex-extracted
Fine-grained recognition without part annotations
inferredcites →https://doi.org/10.1109/cvpr.2016.128openalex-extracted
Picking Deep Filter Responses for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.130openalex-extracted
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
inferredcites →https://doi.org/10.1109/cvpr.2016.132openalex-extracted
Part-Stacked CNN for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/cvpr.2016.41openalex-extracted
Compact Bilinear Pooling
inferredcites →https://doi.org/10.1109/cvpr.2017.325openalex-extracted
Kernel Pooling for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.476openalex-extracted
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.689openalex-extracted
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.743openalex-extracted
Low-Rank Bilinear Pooling for Fine-Grained Classification
inferredcites →https://doi.org/10.1109/cvpr.2018.00105openalex-extracted
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
inferredcites →https://doi.org/10.1109/cvpr.2018.00436openalex-extracted
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00914openalex-extracted
The iNaturalist Species Classification and Detection Dataset
inferredcites →https://doi.org/10.1109/cvpr.2019.00315openalex-extracted
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
inferredcites →https://doi.org/10.1109/cvpr.2019.00515openalex-extracted
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00530openalex-extracted
Destruction and Construction Learning for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00977openalex-extracted
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01048openalex-extracted
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01131openalex-extracted
Your “Flamingo” is My “Bird”: Fine-Grained, or Not
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01483openalex-extracted
Graph-based High-Order Relation Discovery for Fine-grained Recognition
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00465openalex-extracted
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00725openalex-extracted
Fine-Grained Object Classification via Self-Supervised Pose Alignment
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02273openalex-extracted
Weakly Supervised Posture Mining for Fine-Grained Classification
inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-extracted
Object recognition from local scale-invariant features
inferredcites →https://doi.org/10.1109/iccv.2009.5459303openalex-extracted
Poselets: Body part detectors trained using 3D human pose annotations
inferredcites →https://doi.org/10.1109/iccv.2011.6126238openalex-extracted
Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
inferredcites →https://doi.org/10.1109/iccv.2011.6126539openalex-extracted
Multiclass recognition and part localization with humans in the loop
inferredcites →https://doi.org/10.1109/iccv.2013.96openalex-extracted
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
inferredcites →https://doi.org/10.1109/iccv.2015.136openalex-extracted
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-extracted
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.276openalex-extracted
Multiple Granularity Descriptors for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/iccv.2015.290openalex-extracted
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/iccv.2017.557openalex-extracted
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.63openalex-extracted
Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2017.66openalex-extracted
VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2019.00670openalex-extracted
Selective Sparse Sampling for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00833openalex-extracted
Cross-X Learning for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2019.00842openalex-extracted
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/iccv48922.2021.00066openalex-extracted
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition
inferredcites →https://doi.org/10.1109/iccv48922.2021.00106openalex-extracted
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
inferredcites →https://doi.org/10.1109/icvgip.2008.47openalex-extracted
Automated Flower Classification over a Large Number of Classes
inferredcites →https://doi.org/10.1109/tip.2020.2973812openalex-extracted
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
inferredcites →https://doi.org/10.1109/tmm.2023.3244340openalex-extracted
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer
inferredcites →https://doi.org/10.1109/tnnls.2021.3112768openalex-extracted
Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/wacv48630.2021.00325openalex-extracted
Intra-class Part Swapping for Fine-Grained Image Classification
inferredcites →https://doi.org/10.1109/wacv51458.2022.00334openalex-extracted
Danish Fungi 2020 – Not Just Another Image Recognition Dataset
inferredcites →https://doi.org/10.1145/3474085.3475561openalex-extracted
RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition
inferredcites →https://doi.org/10.1609/aaai.v34i07.7016openalex-extracted
Learning Attentive Pairwise Interaction for Fine-Grained Classification
inferredcites →https://doi.org/10.1609/aaai.v35i2.16255openalex-extracted
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
inferredcites →https://doi.org/10.1609/aaai.v36i1.19967openalex-extracted
TransFG: A Transformer Architecture for Fine-Grained Recognition
inferredcites →https://doi.org/10.48550/arxiv.1611.05109openalex-extracted
Low-rank Bilinear Pooling for Fine-Grained Classification
inferredcites →https://doi.org/10.48550/arxiv.1901.07249openalex-extracted
RPC: A Large-Scale Retail Product Checkout Dataset
inferredcites →https://doi.org/10.48550/arxiv.1901.09891openalex-extracted
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
inferredcites →https://doi.org/10.5244/c.31.117openalex-extracted
Improved Bilinear Pooling with CNNs
inferredcites →https://doi.org/10.5244/c.35.192openalex-extracted
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.5287/ora-qy4eraae4openalex-extracted
Advances in fine-grained visual categorization
inferredcites →https://doi.org/10.48550/arxiv.2107.02341openalex-snapshot
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
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