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Papers Benchmarks Datasets Tasks

object recognition research benchmarks – Page 4 · SOTA2 Research

object recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

81.3Accuracy (Art)

9

Feb 26, 2026

ETH-80 Leave-2-Out (test)

84.02Accuracy

8

Jul 3, 2026

93.1Accuracy

8

Jul 3, 2026

99.02Accuracy

8

Jul 3, 2026

11.9CMAP

8

Feb 26, 2026

CIFAR-100 5 tasks, 20 classes per task (test)

63.87Accuracy

7

Jun 11, 2026

99.1Accuracy

7

Feb 26, 2026

45.8Average Top1 Accuracy

7

Feb 26, 2026

Office-Caltech10 SURF features various domain shifts

40.3Acc (A->C)

7

Feb 26, 2026

41.9AP

6

Mar 9, 2026

Restaurant Object dataset

94Accuracy

6

Feb 26, 2026

IXMAS cross-domain tasks

0.5Runtime (s)

6

Feb 26, 2026

Office+Caltech cross-domain tasks DeCAF6

6.53Runtime (s)

6

Feb 26, 2026

VLCS cross-domain tasks DeCAF6

201.99Avg Domain Generalization Runtime (s)

6

Feb 26, 2026

HalluScope Florence

97.7Rec_pos

5

Apr 24, 2026

HalluScope Instances

98.6Rec_pos

5

Apr 24, 2026

CIFAR-10-C level 3 (test)

7.9Error Rate (Original)

5

Feb 26, 2026

CIFAR-10-C level 1 (test)

7.9Error (Original)

5

Feb 26, 2026

CIFAR-10-C level 4 (test)

7.9Error Rate (Baseline)

5

Feb 26, 2026

CIFAR-10-C level 2 (test)

16.5Baseline Score

5

Feb 26, 2026

Testbed Cross-Dataset

66.2Accuracy (A->C)

5

Feb 26, 2026

28.4Top-1 Accuracy

4

Jun 12, 2026

VID-Robust (anchor frames)

64.3Accuracy

4

Feb 26, 2026

66Accuracy

3

Mar 25, 2026

12.7AP

3

Mar 9, 2026

Page 4 of 5

Popular datasets

CIFAR Office + Caltech PACS ScanObjectNN COCO

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