P2AT: Pyramid pooling axial transformer for real-time semantic segmentation

Author:

Elhassan Mohammed A.M.ORCID,Zhou ChangjunORCID,Benabid Amina,Adam Abuzar B.M.ORCID

Funder

Basic Public Welfare Research Program of Zhejiang Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference74 articles.

1. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

2. Bertasius, G., Wang, H., & Torresani, L. (2021). Is space-time attention all you need for video understanding?. Vol. 2, In ICML (3), (p. 4).

3. Semantic object classes in video: A high-definition ground truth database;Brostow;Pattern Recognition Letters,2009

4. Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., et al. (2022). Mobile-former: Bridging mobilenet and transformer. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 5270–5279).

5. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs;Chen;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

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