GRAPE is a unified group-theoretic framework for positional encoding that subsumes multiplicative mechanisms (like RoPE) and additive mechanisms (like ALiBi and FoX) under a single mathematical ...
Abstract: Adapting deep learning (DL) techniques to automate nontrivial coding activities, such as code documentation and defect detection, has been intensively studied recently. Learning to predict ...
Abstract: The global feature encoding and surface detail refinement are two critical components for point-based point cloud completion methods. However, existing methods typically use max pooling to ...
This is the official implementation of the paper "V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection". Step 3. install Minkowski Engine. git ...
Meta Platforms showed off a bevy of new AI features for its consumer-facing services Facebook, Instagram and WhatsApp at its annual Meta Connect conference in Menlo Park, California, this week. But ...
We introduce a highly performant 3D object detector for point clouds using the DETR framework. The prior attempts all end up with suboptimal results because they fail to learn accurate inductive ...