Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition | ✓ Link | 96.42% | | | | | I2-HOFI | 2024-10-20 |
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization | ✓ Link | 95.4 | | 9.8 | 30.9 | | SR-GNN | 2022-09-05 |
Non-binary deep transfer learning for image classification | ✓ Link | 95.11 | | | | | Inceptionv4 | 2021-07-19 |
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification | ✓ Link | 94.9% | | | 34.2 | | CAP | 2021-01-17 |
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization | ✓ Link | 94.7% | | | | | TBMSL-Net | 2020-03-20 |
Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification | ✓ Link | 94.7% | | | | | CMAL-Net | 2023-03-22 |
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization | | 94.7% | | | | | CSQA-Net | 2024-03-15 |
Part-guided Relational Transformers for Fine-grained Visual Recognition | ✓ Link | 94.6% | | | | | PART | 2022-12-28 |
Alignment Enhancement Network for Fine-grained Visual Categorization | | 94.5% | | | | | AENet | 2021-03-01 |
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation | ✓ Link | 94.5 | | | | | SaSPA + CAL | 2024-06-20 |
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification | ✓ Link | 94.2 | | | | | CAL | 2021-08-19 |
Universal Fine-grained Visual Categorization by Concept Guided Learning | ✓ Link | 94.2% | | | | | CGL | 2025-01-06 |
Fine-Grained Visual Classification with Efficient End-to-end Localization | | 94.1% | | | | | AttNet & AffNet | 2020-05-11 |
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition | | 94.1% | | | | | CCFR | 2021-02-19 |
Learning Class Unique Features in Fine-Grained Visual Classification | | 94.0 % | | | | | DenseNet161+MM+FRL | 2020-11-22 |
Learning Attentive Pairwise Interaction for Fine-Grained Classification | ✓ Link | 93.9% | | | | | API-Net | 2020-02-24 |
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning | | 93.8% | | | | | DF-GMM | 2020-06-01 |
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Your "Flamingo" is My "Bird": Fine-Grained, or Not | ✓ Link | 93.6% | | | | | Multi Granularity | 2020-11-18 |
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes | | 93.5% | | | | | DB | 2019-12-14 |
Fine-Grained Visual Classification with Batch Confusion Norm | | 93.5% | | | | | BCN | 2019-10-28 |
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding | ✓ Link | 93.5% | | | | | ELoPE | 2019-11-17 |
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition | ✓ Link | 93.5 | | | | | SEB+EfficientNet-B5 | 2022-05-26 |
Grad-CAM guided channel-spatial attention module for fine-grained visual classification | | 93.42% | | | | | Grad-CAM | 2021-01-24 |
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches | ✓ Link | 93.4% | | | | | PMG | 2020-03-08 |
Channel Interaction Networks for Fine-Grained Image Categorization | | 93.3% | | | | | CIN | 2020-03-11 |
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification | | 93.3% | | | | | DCAL | 2022-05-04 |
Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification | | 93.2% | | | | | GCL | 2020-02-14 |
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition | ✓ Link | 93.1% | | | | | Mix+ | 2020-04-06 |
Fine-Grained Visual Classification using Self Assessment Classifier | ✓ Link | 93.1% | | | | | ViT-SAC | 2022-05-21 |
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification | ✓ Link | 93.0% | | | | | WS-DAN | 2019-01-26 |
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification | ✓ Link | 92.9% | | | | | MC Loss (B-CNN) | 2020-02-11 |
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | ✓ Link | 92.9 | | | | | EfficientNet-B7 | 2019-05-28 |
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification | ✓ Link | 92.9% | | | | | MHEM (strong ResNet50 baseline) | 2022-11-21 |
Selective Sparse Sampling for Fine-Grained Image Recognition | ✓ Link | 92.8% | | | | | S3N | 2019-10-01 |
Progressive Co-Attention Network for Fine-grained Visual Classification | ✓ Link | 92.8% | | | | | PCA | 2021-01-21 |
Cross-X Learning for Fine-Grained Visual Categorization | | 92.7% | | | | | Cross-X | 2019-09-10 |
Look-into-Object: Self-supervised Structure Modeling for Object Recognition | ✓ Link | 92.7% | | | | | LIO/ResNet-50 (multi-stage) | 2020-03-31 |
A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | ✓ Link | 92.7 | | | | | ELP | 2022-01-01 |
AutoAugment: Learning Augmentation Policies from Data | ✓ Link | 92.67% | 7.33 | | | | AutoAugment | 2018-05-24 |
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network | ✓ Link | 92.4 | | | | | Assemble-ResNet-FGVC-50 | 2020-01-17 |
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization | ✓ Link | 92.4% | | | | | ACNet | 2019-09-25 |
Learning Semantically Enhanced Feature for Fine-Grained Image Classification | ✓ Link | 92.1% | | | | | SEF | 2020-06-24 |
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition | ✓ Link | 92.0% | | | | | DFB-CNN | 2016-11-29 |
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization | ✓ Link | 91.4% | | | | | MPN-COV | 2017-12-04 |
Learning to Navigate for Fine-grained Classification | ✓ Link | 91.4% | | | | | NTS-Net (K=4) | 2018-09-02 |
Neural Architecture Transfer | ✓ Link | 90.8% | | 581M | 5.3M | | NAT-M4 | 2020-05-12 |
Neural Architecture Transfer | ✓ Link | 90.1% | | 388M | 5.1M | | NAT-M3 | 2020-05-12 |
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition | ✓ Link | 89.9 | | | | | MACNN | 2017-10-01 |
Neural Architecture Transfer | ✓ Link | 89.0% | | 235M | 3.4M | | NAT-M2 | 2020-05-12 |
Exploring Localization for Self-supervised Fine-grained Contrastive Learning | ✓ Link | 87.27 | | | | | BYOL+CVSA (ResNet-50) | 2021-06-30 |
Neural Architecture Transfer | ✓ Link | 87.0% | | 175M | 3.2M | | NAT-M1 | 2020-05-12 |
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations | ✓ Link | 64.1 | | | | | NNCLR | 2021-04-29 |
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision | ✓ Link | 54.82% | | | | | SEER (RegNet10B) | 2022-02-16 |
Your Diffusion Model is Secretly a Zero-Shot Classifier | ✓ Link | 26.4 | | | | | Diffusion Classifier (zero-shot) | 2023-03-28 |
Sharpness-Aware Minimization for Efficiently Improving Generalization | ✓ Link | | 4.82 | | | | EffNet-L2 (SAM) | 2020-10-03 |
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization | | | | | | 91.5 | ImageNet + iNat on WS-DAN | 2020-10-06 |