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Found 6 papers, 3 papers with code
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
In MDRNet, the Spatial-aware Dimensionality Reduction (SDR) is designed to dynamically focus on the valuable parts of the object during voxel-to-BEV feature transformation.
Scatter Points in Space: 3D Detection from Multi-view Monocular Images
3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision.
Adaptive Assignment for Geometry Aware Local Feature Matching
The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance.
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Learning-based multi-view stereo (MVS) methods have made impressive progress and surpassed traditional methods in recent years.
WT-MVSNet: Window-based Transformers for Multi-view Stereo
In this work, we propose Window-based Transformers (WT) for local feature matching and global feature aggregation in multi-view stereo.
Guide Local Feature Matching by Overlap Estimation
Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important.
