Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
In most places I use term similarity (metric) for the methods implemented within the package. I use this term within the docs, code and readme. I think it would be better to use Image Quality Assessment (IQA) term and its different categories full-reference (which is what I call similarity), reduced-reference and no-reference. I think it would be more clear for the users what compimg
🖼️ 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
I go on a journey to find a representative set of images in my photo album. This takes me through basic tools (similar to those that solve the Document distance problem) and some deep learning tools as well.
An efficient framework for image retrieval using color, texture and edge features. Implementation of a research paper. Shows similar images based on input image. Improved CBIR process is implemented in Matlab.
In most places I use term similarity (metric) for the methods implemented within the package. I use this term within the docs, code and readme. I think it would be better to use Image Quality Assessment (IQA) term and its different categories full-reference (which is what I call
similarity), reduced-reference and no-reference. I think it would be more clear for the users whatcompimg