Jan 7, 2017 · In this paper, we propose Active Rotating Filters (ARFs) that actively rotate during convolution and produce feature maps with location and ...

the official caffe implementation of ORN (alpha version supports 1x1/3x3 ARFs with 4/8 orientation channels only). the MNIST-Variants demo.

DCNNs using ARFs, referred to as Oriented Response Networks (ORNs), can produce within-class rotation-invariant deep features while maintaining inter-class ...

Oriented Response NetworksOriented Response Networks (ORNs) are deepconvolutional neural networks using Active Rotating Filters(ARFs). An ARF is a filter ...

Oriented Response Networks (ORNs) are deep con- volutional neural networks using Active Rotating Filters. (ARFs). An ARF is a filter that actively rotates dur-.

ORN boosts the generalization ability of DCNNs to handle rotation problems · ORN enables DCNNs to explicitly encode hierarchical orientation features · ORN uses ...

Oriented Response Networks · Yanzhao Zhou, Qixiang Ye, +1 author. Jianbin Jiao · Published in Computer Vision and Pattern… 7 January 2017 · Computer Science.

Aug 29, 2017 · Oriented Response Networks. CVPR 2017. Model. This papers provides a new way to use convolutions. In conventional convolutional neural networks ...

2) Deformable convolutional ResNet-50 network structure and ORN network are designed to extract the local features and rotation invariant features of the object ...

Improved orientated response network (IORN) is descriped in a IEEE Geoscience and Remote Sensing Letters paper. Remote sensing images captured by satellites ...