A curated list of resources dedicated to scene text localization and recognition
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Updated
Jul 30, 2018
A curated list of resources dedicated to scene text localization and recognition
image registration related books, papers, videos, and toolboxes
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
python package to access the data of the NSD (natural scenes dataset) fMRI project
Source code for the paper "Affinity Fusion Graph-based Framework for Natural Image Segmentation".
A list of papers and datasets about natural/color image segmentation (processing)
Source code for the paper "An Adaptive Affinity Graph with Subspace Pursuit for Natural Image Segmentation".
Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.
Playing around with generative models trained on natural images, along with (eventually) some visualization tools.
Website for "Model-based stimulus synthesis of natural-like random textures for the study of motion perception"
Material and ms for the paper caracterizing sparseness of coefficients in natural images
Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!
A framework to build a sparse representation of edges in images.
In this repository, we deal with the task of calculating the principal components of natural images and video frame compression bitrate analysis.
Edge co-occurrences can account for rapid categorization of natural versus animal images
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