| MetaFormer
(MetaFormer-2,384) |
- Accuracy
- 93.0%
|
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition 2022-03-05 |
코드 1 · 코드 2 |
| HERBS |
- Accuracy
- 93.0%
|
Fine-grained Visual Classification with High-temperature Refinement and Background Suppression 2023-03-11 |
코드 1 |
| PIM |
- Accuracy
- 92.8%
|
A Novel Plug-in Module for Fine-Grained Visual Classification 2022-02-08 |
코드 1 |
| MPSA |
- Accuracy
- 92.5%
|
Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification 2024-08-16 |
코드 1 |
| ViT-NeT
(SwinV2-B) |
- Accuracy
- 92.5%
|
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder 2022-07-17 |
코드 1 |
| CSQA-Net |
- Accuracy
- 92.3%
|
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization 2024-03-15 |
연결 없음 |
| I2-HOFI |
- Accuracy
- 92.12%
|
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition 2024-10-20 |
코드 1 |
| MDCM |
- Accuracy
- 92.0%
|
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition 2025-04-12 |
연결 없음 |
| CGL |
- Accuracy
- 91.7%
|
Universal Fine-grained Visual Categorization by Concept Guided Learning 2025-01-06 |
코드 1 |
| SR-GNN |
- Accuracy
- 91.2%
|
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 2022-09-05 |
코드 1 |
| FAL-ViT |
- Accuracy
- 91.1%
|
An Attention-Locating Algorithm for Eliminating Background Effects in Fine-grained Visual Classification 2025-01-28 |
코드 1 |
| SFETrans |
- Accuracy
- 91.1
|
Structural feature enhanced transformer for fine-grained image recognition 2025-06-14 |
연결 없음 |
| CAP |
- Accuracy
- 91.0%
|
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification 2021-01-17 |
코드 1 |
| MP-FGVC |
- Accuracy
- 91.0%
|
Delving into Multimodal Prompting for Fine-grained Visual Classification 2023-09-16 |
연결 없음 |
| TransIFC |
- Accuracy
- 90.9%
|
TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification 2022-12-31 |
연결 없음 |
| TransFG |
- Accuracy
- 90.8%
|
TransFG: A Transformer Architecture for Fine-grained Recognition 2021-03-14 |
코드 1 · 코드 2 |
| IELT |
- Accuracy
- 90.8%
|
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer 2023-02-13 |
코드 1 |
| FVE |
- Accuracy
- 90.3%
|
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition 2020-07-04 |
코드 1 |
| TPSKG |
- Accuracy
- 90.1%
|
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition 2021-07-14 |
연결 없음 |
| FixSENet-154 |
- Accuracy
- 89.2%
|
Fixing the train-test resolution discrepancy 2019-06-14 |
코드 1 · 코드 2 · 코드 3 |
| MGE-CNN |
- Accuracy
- 88.6%
|
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization 2019-10-01 |
코드 1 |
| CS-Parts |
- Accuracy
- 88.5%
|
Classification-Specific Parts for Improving Fine-Grained Visual Categorization 2019-09-16 |
코드 1 · 코드 2 |
| CS-Part |
- Accuracy
- 88.5%
|
Classification-Specific Parts for Improving Fine-Grained Visual Categorization 2019-09-16 |
코드 1 · 코드 2 |
| API-Net |
- Accuracy
- 88.1%
|
Learning Attentive Pairwise Interaction for Fine-Grained Classification 2020-02-24 |
코드 1 |
| PAIRS |
- Accuracy
- 87.9%
|
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition 2018-01-27 |
연결 없음 |
| Cross-X |
- Accuracy
- 86.4%
|
Cross-X Learning for Fine-Grained Visual Categorization 2019-09-10 |
연결 없음 |
| MaxEnt-CNN |
- Accuracy
- 83.0%
|
Maximum-Entropy Fine Grained Classification 2018-12-01 |
연결 없음 |
| PC-DenseNet-161 |
- Accuracy
- 82.79%
|
Pairwise Confusion for Fine-Grained Visual Classification 2017-05-22 |
코드 1 |
| BYOL+CVSA (ResNet-50) |
- Accuracy
- 79.64%
|
Exploring Localization for Self-supervised Fine-grained Contrastive Learning 2021-06-30 |
코드 1 |
| Bilinear-CNN |
- Accuracy
- 79.4%
|
Bilinear CNNs for Fine-grained Visual Recognition 2015-04-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |