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Food101

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFood101 (test)
Accuracy96.38
87
Class-Incremental LearningFood101-LT rho=100 (test)
Accuracy36.84
48
Image ClassificationFood101 Base-to-new generalization
Accuracy (Base Classes)93.75
47
Multimodal ClassificationFOOD101 UPMC (train test)
Accuracy94.2
36
Fine-grained ClassificationFood101
Accuracy98.6
30
Image ClassificationFood101 novel classes
ECE0.0074
29
Fine-grained classificationFood101 (base classes)
Accuracy91.71
27
Error DetectionFood101
AuROC95.06
27
Image ClassificationFood101
Top-1 Accuracy96.38
24
Image ClassificationFood101 H (harmonic mean)
Accuracy91.38
16
Image ClassificationFood101 Base
Top-1 Accuracy91.63
16
Fine-grained classificationFood101 novel classes
MCE0.25
15
Image ClassificationFood101 5-way 5-shot (test)
Accuracy (%)79.59
13
Image ClassificationFood101 5-way 2-shot
Accuracy64.18
13
Image ClassificationFood101 New classes
Accuracy92.05
12
Fine-grained category recognition and content assessmentFood101
Score75
12
ClassificationFood101
Robust Accuracy57.84
10
Object RecognitionFood101
MiniGPT-4 Score64.16
10
Image ClassificationFood101
Accuracy (Clean)83.89
9
Image ClassificationFood101 Pathological Non-IID (test)
Accuracy92.73
9
Image ClassificationFood101 4-shot
Accuracy91.4
8
Zero-shot Image ClassificationFood101
Accuracy (Clean)74.33
7
k-NN Image ClassificationFood101
Accuracy80.3
7
Class-conditioned generationFood101
FID6.05
7
Image ClassificationFood101N
Accuracy85.61
7
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