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Bird S Eye View Semantic Segmentation On

Métriques

IoU veh - 224x480 - No vis filter - 100x50 at 0.25

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
IoU veh - 224x480 - No vis filter - 100x50 at 0.25
Paper TitleRepository
VED8.8Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks-
M^2BEV---
CVT-Cross-view Transformers for real-time Map-view Semantic Segmentation
PointBeV (static)-PointBeV: A Sparse Approach to BeV Predictions
TBP-Former-TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving-
PETRv2-PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
MatrixVT-MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception
Simple-BEV-Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?
TBP-Former (static)-TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving-
LaRa-LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
Lift-Splat-Shoot-Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
PointBeV-PointBeV: A Sparse Approach to BeV Predictions
FIERY (static)-FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
BAEFormer-BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation-
BEVFormer-BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
FIERY41.1FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
ST-P3-ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
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