🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
-
Updated
Jan 5, 2021 - MATLAB
🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Various hashing methods for image retrieval and serves as the baselines
TOMM2020 Dual-Path Convolutional Image-Text Embedding with Instance Loss 🐾 https://arxiv.org/abs/1711.05535
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
Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
Video retrieval from query images
A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition (MAQBOOL)
Cross-batch reference learning for deep classification and retrieval, ACM MM 2016
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.
G.-H. Liu, J.-Y. Yang. Deep-seated features histogram: A novel image retrieval method, Pattern recognition,116(2021)107926.
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
Add a description, image, and links to the image-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the image-retrieval topic, visit your repo's landing page and select "manage topics."