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Found 4 papers, 3 papers with code
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations
As global feature alignment requires the features to preserve the poses of input point clouds and local feature matching expects the features to be invariant to these poses, we propose an SE(3)-equivariant feature extractor to simultaneously generate two types of features.
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation
In the field of domain adaptation, a trade-off exists between the model performance and the number of target domain annotations.
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
We design a new Masked Gradient Update (MGU) module to generate auxiliary data along the boundary of in-distribution data points.
Dual-Awareness Attention for Few-Shot Object Detection
While recent progress has significantly boosted few-shot classification (FSC) performance, few-shot object detection (FSOD) remains challenging for modern learning systems.
Ranked #11 on
Few-Shot Object Detection
on MS-COCO (10-shot)
