You said the DB-ConvLSTM using a 32 channel filter with 1,2 dilations, kernel size of 3x3.
And you must concatenate 2(fw, bw) outputs from each branch -> CAT [(B, T, 32, 60, 60),(B, T, 32, 60, 60), 2] = (B, T, 64, 60, 60). But you did not mention, how does it use another Conv Layer to filter the concatenated result. ie. Kernel sizes, dilations.
You said the DB-ConvLSTM using a 32 channel filter with 1,2 dilations, kernel size of 3x3. And you must concatenate 2(fw, bw) outputs from each branch -> CAT [(B, T, 32, 60, 60),(B, T, 32, 60, 60), 2] = (B, T, 64, 60, 60). But you did not mention, how does it use another Conv Layer to filter the concatenated result. ie. Kernel sizes, dilations.