Lane Detection Using Steerable Filters and FPGA-based Implementation | Semantic Scholar
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images | DeepAI
Biomedical Imaging Group > Steerable Wavelets
The Design and Use of Steerable Filters
BIG > Demo > Steerable Filters
Steerable filter of block diagram | Download Scientific Diagram
Design of Steerable Filters for Feature Detection Using Canny-Like Criteria
The Steerable Pyramid: a translation- and rotation-equivariant wavelet representation for images
First and second order steerable filters. (a-b) Gaussian basis, (c-d)... | Download Scientific Diagram
Figure 1 from The Design and Use of Steerable Filters | Semantic Scholar
Steerable Filter Properties and Initial Application to a Reconstructed... | Download Scientific Diagram
Scale-Equivariant Steerable Networks – arXiv Vanity
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks: Paper and Code - CatalyzeX
Design and Implementation of Multi-Steerable Matched Filters
Accurate and robust crack detection using steerable evidence filtering in electroluminescence images of solar cells - ScienceDirect
Steerable Pyramid
Corner Detection Enhancement Using Steerable Filters
Palm-line Extraction Using Steerable Filters | Semantic Scholar
Steerable filters example
Complete classification of steerability under local filters and its relation with measurement incompatibility | Nature Communications
Steerable Pyramid
HEPA Lift Filter for Air Steerable – Hoover
Design of Steerable Filters for Feature Detection Using Canny-Like Criteria
![Simon Graham on Twitter: "[5/6] We also perform a thorough analysis of various rotation-equivariant approaches and show that using steerable filters in the G-Convolution with 8 filter orientations consistently gave a strong](https://pbs.twimg.com/media/EVKHmFdUUAANqty.png "Simon Graham on Twitter: \"[5/6] We also perform a thorough analysis of various rotation-equivariant approaches and show that using steerable filters in the G-Convolution with 8 filter orientations consistently gave a strong")
Simon Graham on Twitter: "[5/6] We also perform a thorough analysis of various rotation-equivariant approaches and show that using steerable filters in the G-Convolution with 8 filter orientations consistently gave a strong
