HA-DQS-Net: dynamic query design based on transformer with hollow attention
Hongyi Wang,
Di Yan,
Yunpeng Li
et al.
Abstract:A common problem in the field of object detection is that the image features could not be fully expressed. And another issue is that the static query selection in the detection transformer (DETR)-like models cannot adapt well to different datasets due to the fixed number of selected object queries. To solve these problems, hollow attention (HA) and dynamic query selection (DQS) modules were proposed, and a network HA-DQS-Net was further formed. HA integrates specially designed masks into self-attention to bett… Show more
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