G.-H. Liu, Z.-Y. Li, J.-Y. Yang, D. Zhang, Exploiting Sublimated Deep Features for Image Retrieval. Pattern Recognition,147(2024)110076.
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Updated
Dec 17, 2023 - MATLAB
G.-H. Liu, Z.-Y. Li, J.-Y. Yang, D. Zhang, Exploiting Sublimated Deep Features for Image Retrieval. Pattern Recognition,147(2024)110076.
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.
Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen, "Cross-batch Reference Learning for Deep Retrieval," IEEE Transactions on Neural Networks and Learning Systems, 2019
MATLAB implementation of the multiple-kernel local-patch descriptor (BMVC 2017 paper)
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition (MAQBOOL)
Graph Regularised Hashing code
Matlab/Mex implementation of Aggregated Selective Match Kernels for Image Retrieval (published in ICCV 2013)
Content-based image retrieval (CBIR) is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. In addition, the system with neural network can le…
G.-H. Liu, J.-Y. Yang. Deep-seated features histogram: A novel image retrieval method, Pattern recognition,116(2021)107926.
Content-Based Image Retrieval (CBIR) is a challenging task which retrieves the similar images from the large database. Most of the CBIR system uses the low-level features such as color, texture and shape to extract the features from the images. In Recent years the Interest points are used to extract the most similar images with different view po…
A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.
Cross-batch reference learning for deep classification and retrieval, ACM MM 2016
Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
Video retrieval from query images
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