Search Results for author: Mohammed A. M. Elhassan

Found 3 papers, 2 papers with code

P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation

no code implementations23 Oct 2023 Mohammed A. M. Elhassan, Changjun Zhou, Amina Benabid, Abuzar B. M. Adam

In particular, our P2AT variants achieve state-of-art results on the Camvid dataset 80. 5%, 81. 0%, 81. 1% for P2AT-S, P2ATM, and P2AT-L, respectively.

Autonomous Driving feature selection +2

Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation

1 code implementation4 Apr 2022 Mohammed A. M. Elhassan, Chenhui Yang, Chenxi Huang, Tewodros Legesse Munea

The following is a technical report to test the validity of the proposed Subspace Pyramid Fusion Module (SPFM) to capture multi-scale feature representations, which is more useful for semantic segmentation.

Segmentation Semantic Segmentation

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