Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SaSPA + CAL

SaSPA + CAL

Reported on 30 benchmarks across 4 tasks · 1 paper · 26 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology26 results

Few-Shot LearningonStanford Cars
12-shot Accuracy· 2024-06-20
88.8
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonStanford Cars
16-shot Accuracy· 2024-06-20
91
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonStanford Cars
4-shot Accuracy· 2024-06-20
66.7
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonStanford Cars
8-shot Accuracy· 2024-06-20
82.6
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonFGVC Aircraft
12-shot Accuracy· 2024-06-20
75.4
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonFGVC Aircraft
16-shot Accuracy· 2024-06-20
78.9
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonFGVC Aircraft
4-shot Accuracy· 2024-06-20
52.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonFGVC Aircraft
8-shot Accuracy· 2024-06-20
67.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonFGVC Aircraft
Harmonic mean· 2024-06-20
52.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonDTD
12-shot Accuracy· 2024-06-20
58.1
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonDTD
16-shot Accuracy· 2024-06-20
60.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonDTD
4-shot Accuracy· 2024-06-20
48.3
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Few-Shot LearningonDTD
8-shot Accuracy· 2024-06-20
54.8
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonStanford Cars
12-shot Accuracy· 2024-06-20
88.8
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonStanford Cars
16-shot Accuracy· 2024-06-20
91
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonStanford Cars
4-shot Accuracy· 2024-06-20
66.7
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonStanford Cars
8-shot Accuracy· 2024-06-20
82.6
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonFGVC Aircraft
12-shot Accuracy· 2024-06-20
75.4
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonFGVC Aircraft
16-shot Accuracy· 2024-06-20
78.9
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonFGVC Aircraft
4-shot Accuracy· 2024-06-20
52.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonFGVC Aircraft
8-shot Accuracy· 2024-06-20
67.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonFGVC Aircraft
Harmonic mean· 2024-06-20
52.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonDTD
12-shot Accuracy· 2024-06-20
58.1
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonDTD
16-shot Accuracy· 2024-06-20
60.2
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonDTD
4-shot Accuracy· 2024-06-20
48.3
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Meta-LearningonDTD
8-shot Accuracy· 2024-06-20
54.8
SOTA
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551

Computer Vision4 results

Image ClassificationonFGVC Aircraft
Accuracy· 2024-06-20
94.5
best: 95.4 (SR-GNN)
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Image ClassificationonStanford Cars
Accuracy· 2024-06-20
95.72
best: 96.868 (efficient adaptive ensembling)
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Fine-Grained Image ClassificationonFGVC Aircraft
Accuracy· 2024-06-20
94.5
best: 95.4 (SR-GNN)
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551
Fine-Grained Image ClassificationonStanford Cars
Accuracy· 2024-06-20
95.72
best: 96.1 (SR-GNN)
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation arXiv:2406.14551