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Papers Benchmarks Datasets Tasks

CUB dataset and benchmarks – Page 8 · SOTA2 Research

Research Datasets

CUB

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Semantic Correspondence

CUB

83.5PCK@0.1

14

Zero-shot Image Classification

CUB (test)

55.6Top-1 Acc

14

Weakly Supervised Object Localization

CUB

98.7MaxBoxAcc

13

Image Classification

CUB

87Accuracy

13

Fine-grained Image Classification

CUB

76.4Accuracy

13

CUB

81.65Accuracy (ACC)

13

Adversarial Attack Transferability

CUB-200 2011

86.91Accuracy

13

Few-Shot Class-Incremental Learning

CUB200 Single-class five-shot 1 novel class

74.2BCR

13

Image Reconstruction

CUB-200

3.08FID

13

Fine-grained Text-to-Image Retrieval

CUB (test)

84.5AP@50

13

Fine-grained Image-to-Text Retrieval

CUB (test)

84.3R@1

13

Keypoint Detection

CUB novel keypoints

77.9Keypoint Detection Score

13

10-way 5-shot Incremental Learning

CUB-200 2011 (test)

81.07Accuracy S1

13

Text-to-image synthesis

CUB

5.45Inception Score

13

CUB-200

74.2Accuracy

12

Concept Steerability

CUB 10 concepts 1k samples (test)

49.3Steerability

12

Class-Incremental Learning

CUB-200 Split (test)

90.9FA

12

CUB (All/Old/New)

38.5Accuracy (All)

12

Attribution Faithfulness

CUB-200-2011 (val)

0.061Deletion Score

12

Incremental Learning

CUB-200 2011 (incremental)

77.44Session 1 Acc

12

Landmark Detection

CUB Category 002 2011 (test)

15Normalized L2 Distance

12

Landmark Detection

CUB Category 001 2011 (test)

11.3Normalized L2 Distance

12

Continual Learning

Split CUB (test)

73.8AT (%)

12

Zero-shot Image Classification

CUB GBU

55.6Top-1 Accuracy

12

Keypoint Detection

CUB unseen (test)

98.58PCK@0.1

11

Page 8 of 20

Popular tasks

Image Classification Class-incremental learning Few-shot classification Generalized Category Discovery Few-Shot Class-Incremental Learning

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