most citedSDA-Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 3 cited

SDA-Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation

Qingbei Guo, Xiao-Jun Wu, Zhiquan Feng +2

Existing multi-scale solutions lead to a risk of just increasing the receptive field sizes while neglecting small receptive fields. Thus, it is a challenging problem to effectively…