Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation

Although the weight-sharing property of convolution is one of the major reasons for the success of convolution neural networks, the content-agnostic operation is insufficient for several tasks requiring content-adaptive processing, including panoptic segmentation. Inspired by several recent works on...

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Vydané v:	2023 IEEE International Conference on Image Processing (ICIP) s. 16 - 20
Hlavní autori:	Song, Sumin, Sagong, Min-Cheol, Jung, Seung-Won, Ko, Sung-Jea
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 08.10.2023
Predmet:	Convolution Feature extraction Instance segmentation Kernel Neural networks panoptic segmentation pixel-adaptive convolution Semantic segmentation Semantics Task analysis
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