Patent ID: 11922671
Assignee: NOKIA TECHNOLOGIES OY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The apparatus according to claim 1, wherein said Conv-LSTM module operates in accordance with at least one of the following equations: a) fi=σ(Wf·[hi−1×2,xi]+bf), b) si=σ(Ws·[hi−1×2,xi]+bs), c) {tilde over (C)}i=tanh(Wc·[hi−1×2,xi]+bc), d) Ci=fi*Ci−1+si*{tilde over (C)}i, e) oi=σ(Wo·[hi−1×2,xi]+bo), f) hi=oi*tanh(Ci), g) hi×2=Conv1×1(B2(hi)), wherein fi represents a forget gate, σ(·) represents the sigmoid function, Wf represents parameters associated with the forget gate, xi represents input feature map information, hi−1×2 represents a transformed hidden state of a preceding hierarchical level (l3) of said decoder, bf represents bias parameters associated with the forget gate, si represents an input gate, Ws represents parameters associated with the input gate, bs represents bias parameters associated with the input gate, {tilde over (C)}i represents a candidate new cell state, tanh(·) is the hyperbolic tangent function, Wc represents parameters associated with the candidate new cell state, bc represents bias parameters associated with the candidate new cell state, Ci−1 represents an old cell state, oi represents an output gate, Wo represents parameters associated with the output gate, bo represents bias parameters associated with the output gate, hi represents a hidden state, B2(hi) represents a bilinearly upsampled hidden state, and hi×2 represents said bilinearly upsampled hidden state transformed by a 1×1 convolutional layer.