A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
-
Updated
Dec 9, 2017 - C++
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Pytorch implementation of PCN
Invariant representation learning from imaging and spectral data
Simple and Effective Face Detector, based on Progressive Calibration Networks (PCN) which is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
The official source codes for the riconv++ (IJCV2022) paper
[MedIA] Dermoscopic image retrieval based on rotation-invariance deep hashing
[AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
Implementations of PCN face detection is ported to iOS using caffe. PCN (caffe version) is get from: https://github.com/Jack-CV/FaceKit
3D Teeth Scan Segmentation via Rotation-Invariant Descriptor
This is the code for the master thesis on building rotation invariant representation for protein design pipeline
clusters similar images and searches disoriented images and matches it with original image.
Add a description, image, and links to the rotation-invariant topic page so that developers can more easily learn about it.
To associate your repository with the rotation-invariant topic, visit your repo's landing page and select "manage topics."