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Found 4 papers, 2 papers with code
DisARM: Displacement Aware Relation Module for 3D Detection
However, adopting relations between all the object or patch proposals for detection is inefficient, and an imbalanced combination of local and global relations brings extra noise that could mislead the training.
3DRM:Pair-wise relation module for 3D object detection
Context has proven to be one of the most important factors in object layout reasoning for 3D scene understanding.
ARM3D: Attention-based relation module for indoor 3D object detection
In the field of 3D object detection, previous methods have been taking the advantage of context encoding, graph embedding, or explicit relation reasoning to extract relation context.
Potential Convolution: Embedding Point Clouds into Potential Fields
In this work, rather than defining a continuous or discrete kernel, we directly embed convolutional kernels into the learnable potential fields, giving rise to potential convolution.
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