HyperAI超神経
ホームニュース最新論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
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HyperAI超神経

Fine Grained Image Classification On Stanford

評価指標

Accuracy
PARAMS

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Accuracy
PARAMS
Paper TitleRepository
DeiT-B93.3%86MTraining data-efficient image transformers & distillation through attention-
SEB+EfficientNet-B594.6%-On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
S3N94.7%-Selective Sparse Sampling for Fine-Grained Image Recognition
PMG95.1%-Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
PCA94.6%-Progressive Co-Attention Network for Fine-grained Visual Classification
SaSPA + CAL95.72-Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
ViT-L (attn finetune)93.8%-Three things everyone should know about Vision Transformers
AENet94.0%-Alignment Enhancement Network for Fine-grained Visual Categorization-
ResMLP-1284.6%-ResMLP: Feedforward networks for image classification with data-efficient training
SR-GNN96.130.9SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
RDNet-T (224 res, IN-1K pretrained)93.9%24MDenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
ResNet50 (A1)92.7%24MResNet strikes back: An improved training procedure in timm
Inceptionv495.35%-Non-binary deep transfer learning for image classification
WS-DAN94.5%-See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
CCFR95.5%-Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition-
MPSA95.4%-Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification
CIN94.5%-Channel Interaction Networks for Fine-Grained Image Categorization-
DF-GMM94.8%-Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning-
MPFG + CLIP86.79-Multiscale patch-based feature graphs for image classification
TransFG94.8%-TransFG: A Transformer Architecture for Fine-grained Recognition
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