Algorithm 2.
FUSION
| 1: | procedure FUSION BRANCH |
| 2: | Horizontal Fusion (HF) |
| 3: | for i ∈ [1, N] do |
| 4: | t_Vi ← weighted(t_αi, t_hi) |
| 5: | w_hi ← weighted(w_αi, w_αi) |
| 6: | Vi ← dense([t_Vi, w_Vi]) |
| 7: | end for |
| 8: | Vertical Fusion (VF) |
| 9: | for i ∈ [1, N] do |
| 10: | hi ← dense([t_hi, w_hi]) |
| 11: | s_αi ← average([t_αi, w_αi]) |
| 12: | Vi ← weighted(hi, s_αi) |
| 13: | end for |
| 14: | Fine-tuning Attention Fusion (FAF) |
| 15: | for i ∈ [1, N] do |
| 16: | u_ei ← getEnergies(hi) |
| 17: | u_αi ← getDistribution(u_ei, s_αi) |
| 18: | Vi ← weighted(hi, u_αi) |
| 19: | end for |
| 20: | Decision Making |
| 21: | E ← convNet(V1, V2,…, VN) |
| 22: | return E |
| 23: | end procedure |