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Delving into the Scale Variance Problem in Object Detection. (arXiv:2206.08227v1 [cs.CV])
June 17, 2022, 1:13 a.m. | Junliang Chen, Xiaodong Zhao, Linlin Shen
cs.CV updates on arXiv.org arxiv.org
Object detection has made substantial progress in the last decade, due to the
capability of convolution in extracting local context of objects. However, the
scales of objects are diverse and current convolution can only process
single-scale input. The capability of traditional convolution with a fixed
receptive field in dealing with such a scale variance problem, is thus limited.
Multi-scale feature representation has been proven to be an effective way to
mitigate the scale variance problem. Recent researches mainly adopt partial …
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