Introduction to Eccv 2026 Map Det3d
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Eccv 2026 Map Det3d Comprehensive Overview
Continuous 6-DoF pose estimation is essential for autonomous UAV operations. Yet, existing visual odometry and SLAM methods ... RAF: Image Reliability-Aware Fusion of Camera, LiDAR, and 4D RADAR for Robust 3D Object Detection in Adverse Weather. BIMScript: Material-Aware Structured Scene Programs for BIM Ingestion (
ECCV
Summary & Highlights for Eccv 2026 Map Det3d
- OmniSch: A Multimodal PCB Schematic Benchmark For Structured Diagram Visual Reasoning.
- Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors.
- Functional
- Multi-view 3D Visual Question Answering (MV3D-VQA) asks a model to combine partial observations into a coherent 3D scene ...
- Project page: https://superflex3d.github.io Authors: Gabriel Tavernini, Elisabetta Fedele, Tiago Novello, Leonidas Guibas, Marc ...
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