FALNet: flow-based attention lightweight network for human pose estimation
Degui Xiao,
Jiahui Liu,
Jiazhi Li
Abstract:Deep neural networks achieve significant progress in human pose estimation (HPE), but there are still many difficulties in practical applications. One of the important reasons is that the current advanced models are very complex leading to huge computation cost. We propose a flow-based attention lightweight network (FALNet) for HPE to solve this problem. We first design a cheap lightweight bottleneck to reduce the model size and complexity with two components: depthwise convolution and cheap unit. Then we prop… Show more
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