Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject semantic segmentation
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 12-Aug-2024 | Cross-Block Sparse Class Token Contrast for Weakly Supervised Semantic Segmentation | Cheng, K; Tang, J; Gu, H; Wan, H; Li, M |
| 8-Aug-2022 | DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV | Song, W; Liu, Z; Guo, Y; Sun, S; Zu, G; Li, M |