Table 1 Classification accuracy (%) before and after label cleaning.

From: Active label cleaning for improved dataset quality under resource constraints

 

Selector

Scoring

Classifier

Before cleaning

After cleaning

(1)

Vanilla

Eq. (2)

Vanilla

64.1

68.4

(2)

Vanilla

BALD34

Vanilla

64.1

68.3

(3)

SSL

Eq. (2)

Vanilla

64.1

70.9

(4)

SSL

Eq. (2)

SSL

78.7

80.3

(5)

Vanilla

Eq. (2)

SSL

78.7

79.4

(6)

Co-teaching

Eq. (2)

Co-teaching

66.5

68.8

(7)

ELR29

67.0

(8)

(Clean training)

Vanilla

73.6

(9)

(Clean training)

SSL

80.7

  1. Models are evaluated on a clean test set (N = 50 k) before and after relabelling 32.7% of samples in the training set (CIFAR10H, N = 5 k, η = 30%).