Enhancing Mask Transformer with Auxiliary Convolution Layers for Semantic Segmentation

Transformer-based semantic segmentation methods have achieved excellent performance in recent years. Mask2Former is one of the well-known transformer-based methods which unifies common image segmentation into a universal model. However, it performs relatively poorly in obtaining local features and s...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Zhengyu Xia, Joohee Kim
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-01-01
Serie:	Sensors
Ämnen:	deep learning semantic segmentation image segmentation transformer convolutional neural networks
Länkar:	https://www.mdpi.com/1424-8220/23/2/581
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!