← Fine-Grained Image Classification
Papers with Code · CC BY-SA 4.0

Stanford Dogs

아카이브 평가 24건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
MP
Accuracy
97.3%
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
2022-09-05
코드 1
MPSA
Accuracy
95.4%
Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification
2024-08-16
코드 1
ViT-NeT (DeiT-III-B)
Accuracy
93.6%
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
2022-07-17
코드 1
µ2Net+ (ViT-L/16)
Accuracy
93.5%
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
2022-09-15
코드 1
SIM-OFE
Accuracy
93.3%
SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization
2024-09-18
연결 없음
WS_DAN-SAC
Accuracy
93.1%
Fine-Grained Visual Classification using Self Assessment Classifier
2022-05-21
코드 1
SEB+EfficientNet-B5
Accuracy
93.0%
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
2022-05-26
코드 1
TPSKG
Accuracy
92.5%
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
2021-07-14
연결 없음
RAMS-Trans
Accuracy
92.4%
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
2021-07-17
연결 없음
SFETrans
Accuracy
92.4
Structural feature enhanced transformer for fine-grained image recognition
2025-06-14
연결 없음
TransFG
Accuracy
92.3% (90.6%)
TransFG: A Transformer Architecture for Fine-grained Recognition
2021-03-14
코드 1 · 코드 2
IELT
Accuracy
91.8%
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer
2023-02-13
코드 1
AFTrans
Accuracy
91.6%
A free lunch from ViT:Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition
2021-10-04
연결 없음
FFVT
Accuracy
91.5%
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
2021-07-06
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
MP-FGVC
Accuracy
91.0%
Delving into Multimodal Prompting for Fine-grained Visual Classification
2023-09-16
연결 없음
API-Net
Accuracy
90.3%
Learning Attentive Pairwise Interaction for Fine-Grained Classification
2020-02-24
코드 1
ViT-B/16 (RPE w/ GAB)
Accuracy
90.185%
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields
2023-05-08
코드 1
ImageNet + iNat on WS-DAN
Accuracy
90%
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
2020-10-06
연결 없음
SEF
Accuracy
88.8%
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
2020-06-24
코드 1 · 코드 2
DB
Accuracy
87.7%
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
2019-12-14
연결 없음
ResNet-50
Accuracy
86.31%
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
2023-08-25
코드 1 · 코드 2
PC-DenseNet-161
Accuracy
83.75%
Pairwise Confusion for Fine-Grained Visual Classification
2017-05-22
코드 1
EfficientNet-B0 (BSConv-S)
Accuracy
61.2%
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
2020-03-30
코드 1