Table 3 Comparing the models with and without the output branching design.

From: Learning from algorithm-generated pseudo-annotations for detecting ants in videos

Model

HA (%)

AA (%)

Precision

Recall

\(F_1\) score

Using Full HA

100

0

0.8760

0.7520

0.8092

w/o output branching

2

98

0.8383

0.7006

0.7633

With output branching

2

98

0.8482

0.7142

0.7754

w/o output branching

10

90

0.8321

0.7493

0.7885

With output branching

10

90

0.8631

0.7621

0.8090

  1. FE-1 generates AA. Significant values are in bold.