Poly Kernel Inception Network for Remote Sensing Detection

arXiv:2403.06258v1 Announce Type: new
Abstract: Object detection in remote sensing images (RSIs) often suffers from several increasing challenges, including the large variation in object scales and the diverse-ranging context. Prior methods tried to address these challenges by expanding the spatial receptive field of the backbone, either through large-kernel convolution or dilated convolution. However, the former typically introduces considerable background noise, while the latter risks generating overly sparse feature representations. In this paper, we introduce the Poly Kernel Inception Network (PKINet) …

abstract arxiv challenges context convolution cs.cv detection diverse images kernel network object prior sensing spatial through type variation