Algorithm 1 DualBranch-AMR

Require: Labeled data $x_{ft}$, Unlabeled data $x_{pt}$, Initial model f

1: for each $x_i$ in $x_{pt}$ do

2:    $x^{weak}\leftarrow \mathrm{WeakAugment}\left(x_i\right)$ {Equation (7)}

3:    $x^{strong}\leftarrow \mathrm{StrongAugment}\left(x_i\right)$ {Equation (8)}

4: end for

5: $f_1,f_2\leftarrow \mathrm{InitializeDualModels}\left(f\right)$ {Equations (9) and (10)}

6: for each epoch in all epoch do

7:    for each batch $(x_{ft},x^{weak},x^{strong})$ do

8:        $(y_{ft-1}^{\prime },y_{\mathrm{weak}\text{-}1},y_{\mathrm{strong}\text{-}1})\leftarrow f_1(x_{ft},x^{weak},x^{strong})$ {Equation (11)}

9:        $(y_{ft-2}^{\prime },y_{\mathrm{weak}\text{-}2},y_{\mathrm{strong}\text{-}2})\leftarrow f_2(x_{ft},x^{weak},x^{strong})$ {Equation (12)}

10:    end for

11:    for each unlabeled sample x in $x_{pt}$ do

12:        for each model m in $\{f_1,f_2\}$ do

13:            Determine if x is stable for m {Equations (13) and (14)}

14:        end for

15:        if both $f_1$ and $f_2$ find x stable then

16:            Calculate loss L {Equations (15)–(18)}

17:        end if

18:    end for

19:    Update $f_1$ and $f_2$ using total loss L

20: end for