Delete functionality for normalised models
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Updated
Jan 24, 2024 - Python
Delete functionality for normalised models
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
Dynamics in signed social networks
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Python implementation of Cascade information reconciliation protocol for Quantum Key Distribution
BB84 Quantum Key Distribution implemented using the SimulaQron Python API
The implement of Independent Cascade Model, with different seeds selection algorithms.
Computer Vision and Implementations with Python
An image recognition process contained in the LFW database http://vis-www.cs.umass.edu/lfw/#download is carried out with extreme simplicity, taking advantage of the ease of sklearn to implement the SVM model. Cascading face recognition is also used to refine the images, obtaining accuracy greater than 70% in the test with images that do not appe…
Trained HAAR Cascade model for FRC 2020-2021 Infinite Recharge
A LBP-type face detector of girl in illustrations/animations
How to make a Smile Detector using opencv
The purpose of this project is to demonstrate the advantages of combining multiple CNNs to a common cascade structure. In contrast to training a single CNN only, the resulting classifier can be faster and more accurate at once. It can be used e.g. for the purpose of face detection.
Implement slightly different caffe-segnet in tensorflow with a cascading architecture
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