This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
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Updated
Dec 8, 2022 - Python
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
Comparison of Hi-C Experiments using Structural Similarity.
AlphaFind: Discover structure similarity across the entire known proteome
EchoTime: explainable structural similarity for time series and time-series datasets, with shareable HTML reports and agent-ready JSON.
a pytorch impelementation of ssim to reproduce matlab results
🖼️ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index Measure (SSIM) of Two Images
Code release for Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering (TPAMI 2022).
Tools for assessment the association between two spatial processes
Hierarchical Structural Distance (HSD) Implementation
Pan card fraud detection using machine learning
Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity
The server side of PB Project.
This Matlab code is used to find the SSIM (Structural Similarity Index )value of two images.
Structural Similarity between two matrices
chainer structural similarity (SSIM) loss
Modern Graph TensorFlow implementation of Super-Resolution GAN
SSIM pixel-map duplicate PDF detection algorithm — identifies exact, near-duplicate, and partially overlapping documents to prevent storage bloat and KPI inflation. Includes synthetic gov-document generators (driver license, birth certificate, tax form, immigration notice), transform robustness tests (rotation, scale, shift, noise), and professiona
Spot is a tool capable of selecting interesting pictures within a given dataset.
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