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Found 3 papers, 1 papers with code
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network
On Occ3D-nuScenes benchmark, EFFOcc has only 18. 4M parameters, and achieves 50. 46 in terms of mean IoU (mIoU), to our knowledge, it is the occnet with minimal parameters compared with related occnets.
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
This process is studied in Unsupervised domain adaptation (UDA).
A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments
We advance the state-of-the-art by a new model of measurement error in the line segment extraction and minimizing its impact on the vanishing point estimation.
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