Table 2 Test accuracy [%] (top-1) comparison between SCFF and self-supervised Learning methods on MNIST, CIFAR-10, STL-10, and Tiny ImageNet datasets

From: Self-Contrastive Forward-Forward algorithm

Method

Local

Unsupervised

MNIST

CIFAR-10

STL-10

Tiny ImageNet

SimCLR (Chen et al. 202075)

94.0

89.7

53.492

Bio-SSL (Tang et al. 202278)

72.7

68.8

PNN-SSL (Laydevant et al. 202377)

96.6

77.0

CLAPP (Illing et al. 202117)

73.6

SCFF (ours)

98.7

80.8

77.3

35.7

  1. The symbols , ✗, and - mean “yes", “no", and “no reported results", respectively.
  2. Entries in bold indicate the proposed method and its associated results.