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算力平台
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SOTA
细粒度图像分类
Fine Grained Image Classification On Fgvc
Fine Grained Image Classification On Fgvc
评估指标
Accuracy
FLOPS
PARAMS
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
FLOPS
PARAMS
Paper Title
I2-HOFI
96.42%
-
-
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition
SR-GNN
95.4
9.8
30.9
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
Inceptionv4
95.11
-
-
Non-binary deep transfer learning for image classification
CAP
94.9%
-
34.2
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
CSQA-Net
94.7%
-
-
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
CMAL-Net
94.7%
-
-
Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification
TBMSL-Net
94.7%
-
-
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
PART
94.6%
-
-
Part-guided Relational Transformers for Fine-grained Visual Recognition
AENet
94.5%
-
-
Alignment Enhancement Network for Fine-grained Visual Categorization
SaSPA + CAL
94.5
-
-
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
CAL
94.2
-
-
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
CGL
94.2%
-
-
Universal Fine-grained Visual Categorization by Concept Guided Learning
AttNet & AffNet
94.1%
-
-
Fine-Grained Visual Classification with Efficient End-to-end Localization
CCFR
94.1%
-
-
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
DenseNet161+MM+FRL
94.0 %
-
-
Learning Class Unique Features in Fine-Grained Visual Classification
API-Net
93.9%
-
-
Learning Attentive Pairwise Interaction for Fine-Grained Classification
CMN
93.8%
-
-
-
DF-GMM
93.8%
-
-
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning
Multi Granularity
93.6%
-
-
Your "Flamingo" is My "Bird": Fine-Grained, or Not
BCN
93.5%
-
-
Fine-Grained Visual Classification with Batch Confusion Norm
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