Source code for paper "Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval" on TPAMI-2013
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Updated
Jul 6, 2024 - Python
Source code for paper "Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval" on TPAMI-2013
Experiment with Centroid Re-ID by Changing Backbone Using EfficientNet-V2 and Adding Re-Identification Based Data Augmentation
An implementation of A simple texture feature for retrieval of medical images by Rushi Lan, Si Zhong, Zhenbing Liu, Zhuo Shi & Xiaonan Luo for applying texture features in medical images retrival and a comparison between the original filters and prebuilt descriptor Historgram of Orentation Gradients (HOG).
Implementation of joint text and image representations, using VSE++ losses, and implementation of t-SNE
Simple image search engine
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