Apr 25, 2019 · This paper presents a new image feature extractor, called the local relation layer, that adaptively determines aggregation weights based on the ...

This paper presents a new image feature extractor, called the local relation layer, that adaptively determines aggregation weights based on the compositional ...

This paper presents a new image feature extractor, called the local relation layer, that adaptively determines aggregation weights based on the compositional ...

A Local Relation Layer is an image feature extractor that is an alternative to a convolution operator. The intuition is that aggregation in convolution is ...

Local Relational Networks for Image Recognition. A Pytorch implementation of the local relational layer from Local Relational Networks for Image Recogntion ...

This paper presents a new image feature extractor, called the local relation layer, that adaptively determines aggregation weights based on the compositional ...

A Pytorch implementation of the local relational layer from Local Relation Networks for Image Recogntion [paper]. Local-Relational-Layer. Background. This is a ...

Apr 26, 2019 · Local Relation Networks for Image Recognition ... The convolution layer has been the dominant feature extractor in computer vision for years.

Apr 25, 2019 · A network built with local relation layers, called the Local Relation Network (LR-Net), is found to provide greater modeling capacity than ...

We propose an alternative mechanism, Pre-Rotation Only at Inference stage (PROAI), to make CNN rotation invariant. The overall idea is to learn how the human ...