Title resolution pending

CONCLUSION Our BEV ANet model achieves competitive performance compared to state-of-the-art methods while reaching realtime processing at 33 FPS

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

representative citing papers

BEVANet: Bilateral Efficient Visual Attention Network for Real-Time Semantic Segmentation

cs.CV · 2025-08-10 · conditional · novelty 5.0

BEVANet reports 81.0% mIoU at 33 FPS on Cityscapes, 0.9% above PIDNet-M but with more parameters and FLOPs.

citing papers explorer

Showing 1 of 1 citing paper.

BEVANet: Bilateral Efficient Visual Attention Network for Real-Time Semantic Segmentation cs.CV · 2025-08-10 · conditional · none · ref 4
BEVANet reports 81.0% mIoU at 33 FPS on Cityscapes, 0.9% above PIDNet-M but with more parameters and FLOPs.

Title resolution pending

fields

years

verdicts

representative citing papers

citing papers explorer