Various hashing methods for image retrieval and serves as the baselines
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Updated
Apr 16, 2022 - MATLAB
Various hashing methods for image retrieval and serves as the baselines
🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
TOMM2020 Dual-Path Convolutional Image-Text Embedding 🐾 https://arxiv.org/abs/1711.05535
Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)
CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.
Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
Video retrieval from query images
Cross-batch reference learning for deep classification and retrieval, ACM MM 2016
Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
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.
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.
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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