3D Semantic Segmentation On Nuscenes
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | mIoU | Paper Title | Repository |
|---|---|---|---|
| FRNet | 82.5% | FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation | |
| AF2S3Net | 78.3% | (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network | - |
| PTv2 | 82.6% | Point Transformer V2: Grouped Vector Attention and Partition-based Pooling |
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