rpytel1/occlusion-vs-data-augmentations

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Created about 4 years ago
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rpytel1/occlusion-vs-data-augmentations

rpytel1

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Oficial repository of ICPR 2020 paper "Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions"

multimedia-project

Implementation of content based recommendation system using transformed data from Social Media Challenge. Similarity based and Machine Learning approaches implemented. Employed image features like: HOG histogram, HSV histogram and even SIFT descriptors.

dijkstra-and-floyd-algorithms

Finding thickest path in Graph based on Adjacency Matrix by algorithms of Dijkstra and Floyd-Warshall. Input document has to be like in a form like samples in input folder.

efficient-semantic-segmentation

clickbait-challenge

Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.