| Fine-grained Visual Classification with High-temperature Refinement and Background Suppression | ✓ Link | 93.1% | HERBS | 2023-03-11 |
| A Novel Plug-in Module for Fine-Grained Visual Classification | ✓ Link | 92.8 | PIM | 2022-02-08 |
| Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition | | 92.5% | MDCM | 2025-04-12 |
| Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification | ✓ Link | 91.8 | CAP | 2021-01-17 |
| 0/1 Deep Neural Networks via Block Coordinate Descent | | 91.8 | IELT | 2022-06-19 |
| Structural feature enhanced transformer for fine-grained image recognition | | 91.8 | SFETrans | 2025-06-14 |
| TransFG: A Transformer Architecture for Fine-grained Recognition | ✓ Link | 91.7 | TransFG | 2021-03-14 |
| Revisiting Weakly Supervised Pre-Training of Visual Perception Models | ✓ Link | 91.7 | SWAG (ViT H/14) | 2022-01-20 |
| ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder | ✓ Link | 91.7 | ViT-NeT | 2022-07-17 |
| Feature Fusion Vision Transformer for Fine-Grained Visual Categorization | ✓ Link | 91.6 | FFVT | 2021-07-06 |
| Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization | | 91.2 | DATL | 2020-10-06 |
| Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification | ✓ Link | 90.6 | CAL | 2021-08-19 |
| High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization | ✓ Link | 90.02% | HOI-Net | 2021-11-13 |
| Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization | ✓ Link | 89.6 | TBMSL-Net | 2020-03-20 |
| Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification | ✓ Link | 89.5 | FBSD | 2021-03-04 |
| See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification | ✓ Link | 89.4 | WS-DAN | 2019-01-26 |
| A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | ✓ Link | 88.8 | ELP | 2022-01-01 |
| Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization | ✓ Link | 88.7 | MPN-COV | 2017-12-04 |
| Fixing the train-test resolution discrepancy | ✓ Link | 88.7 | FixSENet-154 | 2019-06-14 |
| PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans | ✓ Link | 88.59 | ResNet-50 | 2023-08-25 |
| Learning Class Unique Features in Fine-Grained Visual Classification | | 88.5 | DenseNet161+MM+FRL | 2020-11-22 |
| Look-into-Object: Self-supervised Structure Modeling for Object Recognition | ✓ Link | 88.0 | LIO | 2020-03-31 |
| Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition | ✓ Link | 87.9 | TASN | 2019-03-14 |
| Are These Birds Similar: Learning Branched Networks for Fine-grained Representations | ✓ Link | 87.5 | Nts-Net | 2020-01-16 |
| Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition | ✓ Link | 87.4 | DFL-CNN | 2016-11-29 |
| Pairwise Confusion for Fine-Grained Visual Classification | ✓ Link | 86.9 | PC | 2017-05-22 |
| Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition | ✓ Link | 86.5 | MACNN | 2017-10-01 |
| Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro | ✓ Link | 84.4 | Basel.+LSRO | 2017-01-26 |
| Exploring Localization for Self-supervised Fine-grained Contrastive Learning | ✓ Link | 77.1 | BYOL+CVSA (ResNet-50) | 2021-06-30 |
| Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction | | 50.98 | Deformable Part Descriptors | 2013-12-01 |