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Models/LaRa

LaRa

Reported on 6 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Semantic SegmentationonnuScenes
IoU veh - 224x480 - No vis filter - 100x100 at 0.5· 2022-06-27
35.4
best: 39.9 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294
Semantic SegmentationonnuScenes
IoU veh - 224x480 - Vis filter. - 100x100 at 0.5· 2022-06-27
38.9
best: 44.7 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294

Audio2 results

10-shot image generationonnuScenes
IoU veh - 224x480 - No vis filter - 100x100 at 0.5· 2022-06-27
35.4
best: 39.9 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294
10-shot image generationonnuScenes
IoU veh - 224x480 - Vis filter. - 100x100 at 0.5· 2022-06-27
38.9
best: 44.7 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294

Computer Vision2 results

Bird's-Eye View Semantic SegmentationonnuScenes
IoU veh - 224x480 - No vis filter - 100x100 at 0.5· 2022-06-27
35.4
best: 39.9 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294
Bird's-Eye View Semantic SegmentationonnuScenes
IoU veh - 224x480 - Vis filter. - 100x100 at 0.5· 2022-06-27
38.9
best: 44.7 (PointBeV)
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation arXiv:2206.13294